Let's Talk AI
Let's Talk AI is a podcast that explores artificial intelligence in depth. Hosts interview experts on AI topics, challenges, and technologies, diving into technical details. The show aims to help listeners learn from real-world AI cases to advance their business, career, and projects.
Episodes
#100 - Tmux Tutorial: Boost Developer Productivity Like a Pro | Thomas Bustos
Every developer struggles with context-switching, managing multiple sessions, and maintaining focus. Enter Tmux.Tmux is a tool Thomas Bustos calls the backbone of his productivity. In this episode, he walks through his full tech stack, explains how deep work sessions are structured, and shows how Tmux integrates with NeoVim and Cloud Code for maximum efficiency. Learn how to track metrics, iterate
#99 - The 3 Pillars Every AI Leader Needs to Master | Thomas Bustos
The role of AI leaders has quietly transformed.Not long ago, being an “AI leader” meant hiring a few ML engineers, experimenting with models, and hoping something stuck. Today, that approach fails. AI leaders are no longer just technical champions. They are system architects of decision-making, accountability, and value creation.In this episode of Let’s Talk AI, Thomas Bustos breaks down the three
#98 - The Rise of the AI Native Employee | Thomas Bustos
What is an AI Native employee?It’s not someone who occasionally uses ChatGPT.It’s not someone who automates a few workflows.It’s someone who integrates AI into how they think, decide, and operate.In this episode, Thomas Bustos explores the rise of the AI Native employee—not as a job title, but as a new operating standard. Before AI, employees manually summarized, synthesized, reported, and shared
#97 - AI Native Companies Explained: How Startups Should Build With AI | Thomas Bustos
AI native companies represent a structural evolution in startup design. Unlike traditional companies that adopt AI as an efficiency layer, AI native companies integrate AI into the core decision-making fabric of the organization.In this episode, Thomas Bustos analyzes how AI native companies restructure three critical dimensions: learning velocity, decision quality, and organizational leverage. Th
#96 - Why Every Early Stage Founder Needs a Learning Engine | Thomas Bustos
Most advice for early stage founders is wrong because it assumes you’re ready to scale.In this episode, Thomas Bustos challenges the obsession with growth, optimization, and “best practices.” He argues that for an early stage founder, those things are distractions without a learning engine underneath them.Instead of asking “How do we grow faster?”, the better question is “How do we learn faster?”
#95 - The First 5 Customers: A Framework for Early Stage Founders | Thomas Bustos
Most early stage founders think their job is to grow. That belief quietly kills more startups than bad ideas ever will.In this episode, Thomas Bustos challenges the default startup narrative and argues that early stage founders should delay optimization, ignore premature scale, and focus obsessively on their first five customers. Not leads. Not users. Paying, real ICP customers.He dismantles the o
#94 - Startup Growth Strategies from a YC Alumni | Max Berthelot
In this episode of Let’s Talk AI, Max Berthelot takes us into the heart of his founder journey. It is one that spans B2B SaaS, Y Combinator’s high-pressure halls, and now the health-tech frontier with Lucis.What starts as a leap from a stable career becomes a story about obsession, discipline, and the uncomfortable truths behind real startup growth. Max shares the moment he realized community was
#93 - Designing IDEs for the AI Era: Lessons in Feedback, Speed, and Quality | Richard Wang
The IDE has always been the developer’s command center. But as AI systems mature, the IDE is becoming something far more sophisticated — a hybrid of automation, intelligence, and adaptability.In this episode, Thomas Bustos and Richard Wang (Clad Labs) dissect the architectural and strategic implications of building AI-powered IDEs. They discuss how real-time feedback loops, adaptive code assistanc
#92 - The Startup Mindset: Lessons from a Meta Engineer Turned Founder | Anmol Sood
We often hear stories about engineers leaving Big Tech to chase their startup dreams, but few break down what really happens after the leap.In this episode, Anmol Sood, former Meta engineer and now founder of Alai, opens up about his journey from writing production-grade code to creating a startup that helps people build high-quality presentations in minutes.He shares how speed and quality constan
#91 - AI Meets Robotics: Designing the Next Generation of Intelligent Machines | Remi Fabre
When artificial intelligence meets robotics, something remarkable happens: machines stop just following instructions and start understanding purpose.In this episode of Let’s Talk AI, Thomas Bustos sits down with Remi Fabre, a robotics engineer whose work bridges the gap between software intelligence and physical motion. Together, they unpack what it takes to design robots that don’t just move, but
#90 - The AI Engineer Playbook: Lessons for the Next Generation of Builders | Thomas Bustos
Behind every breakthrough is a builder with a playbook - one that’s forged through trial, mentorship, and iteration.In this episode, Thomas Bustos dissects the AI Engineer Playbook, a systems-level look at how great builders think, learn, and execute.He unpacks how to design your own playbook, why copying others will never scale, and how the future belongs to engineers who combine speed, control,
#89 - From 10 to 150 Engineers: Adam Haney's Playbook for Building in the AI Era
The path from zero to one is an equation that involves technology, psychology, and culture. Adam Haney of Infinity Constellation breaks down how modern teams can achieve product-market fit while preserving a human-centric mindset. The discussion examines the convergence of AI tools, leadership communication, and strategic hiring, offering a lens into how effective collaboration fuels innovation. I
#88 - Snipd and the Future of Podcasting: AI Meets Audio Content | Kevin Smith
Everyone says podcasting is already saturated, but Kevin Smith would disagree. While most platforms focus on distribution, he’s betting on AI as the core experience. As co-founder of Snipd, Kevin argues that the future of podcasting isn’t about more shows, but about smarter listening: capturing key ideas, surfacing highlights, and creating shareable knowledge from endless hours of audio. In this c
#87 - Why AI Engineers Must Think Like Problem-Solvers | Alessandro Romano
The conversation around AI engineering is shifting, and Alessandro Romano is at the center of it.In this episode of Let’s Talk AI, we explore why the future of AI is no longer just about tools. It’s now about people who can think critically, solve problems, and apply frameworks with purpose.Alessandro breaks down the evolution of roles in data science, the rise of hands-on workshops for real-world
#86 - Neural Maze: Guiding the Next Wave of AI Engineers | Miguel Otero Pedrido
The world of AI engineering is exploding. Every week, there’s a new framework, a new tool, a new breakthrough. For beginners and even mid-career engineers, it can feel overwhelming. Where do you even start?In this episode of Let’s Talk AI, Miguel explains why hands-on learning beats passive theory, why systems thinking is the real skill every AI engineer needs, and why observability—understanding
#85 - AI Is Moving Faster Than You Think: Here’s What to Know | Nathan Labenz
We’re standing at the edge of an AI-driven future, and most people don’t realize how fast we’re getting there.In this episode of Let’s Talk AI, Nathan Labenz joins us to share insights from years at the forefront of AI development. We cover everything from the disruptive potential of AI-powered content creation to the deep ethical debates around autonomy, alignment, and safety.This is an urgent co
#84 - Entrepreneurship Lessons You Won’t Learn in Business School | Pedro Goes
Most people think entrepreneurship is about having a groundbreaking idea. Pedro Goes disagrees.In this episode, the CEO of InEvent reveals why ideas are overrated, and why execution, adaptability, and timing matter far more. He shares unfiltered insights into securing funding, scaling globally, and leveraging AI-driven innovation to transform the events industry.We also dive into remote leadership
#83 - The Truth About Freelancing in Data Science (And How to Succeed) | Jeremy Arancio
Data science freelancing is a test of both technical skill and strategic adaptability. In our conversation with Jérémy Arancio, we dissect the frameworks he uses to thrive: relentless upskilling, leveraging platforms like LinkedIn for visibility, and distinguishing between hype and practical tools in AI. From the nuanced differences of GenAI vs. NLP to the tactical mindset shift freelancing requir
#81 - Is AI Outpacing Ethics? Machine Learning in the Real World | Marijn Markus
AI is evolving fast, but are our systems, ethics, and infrastructure keeping up?In this episode, Thomas Bustos and Marijn Markus break down the complex interplay between innovation and responsibility in artificial intelligence and machine learning. They examine current limitations in explainability and bias, and unpack what it will take to build scalable, transparent, and human-centric systems.Wit
#82 - What Every Aspiring Data Engineer Needs to Know in 2025 | Ananth Packkildurai
What do you really need to thrive as a data engineer today?Ananth Packkildurai joins us to cut through the noise. From his experience building systems at Slack to his current role in data engineering, Ananth reveals what skills truly stand the test of time, like SQL, data modeling, and a deep understanding of user needs. We also explore how the rise of Generative AI is changing the game, what obse
#80 - Python, Pandas, MIT & Teaching Programming with Reuven Lerner
🎙️ Who is Reuven Lerner?Reuven Lerner is a seasoned Python and Pandas instructor with over 30 years of experience in programming and teaching. He is dedicated to helping individuals enhance their careers through the Python language. With a background that includes an MIT education in computer science and a PhD in learning sciences, Reuven combines his industry experience with innovative teaching m
#78 - Gen AI, E-commerce, Data&Analytics and LLMs with Peter Gostev
🎙️ Who is Peter Gostev?Peter Gostev is the Head of AI at Moonpig, specializing in generative AI and its transformative applications in e-commerce. With a strong background in structured problem-solving and data analytics, Peter emphasizes the importance of collaboration and rapid prototyping to drive innovation in AI projects.💡 In this episode...... we explore Peter's journey in the AI landscape,
#77 - Unify, LLMs in production, YC & productivity with Daniel Lenton
🎙️ Who is Daniel Lenton?Daniel Lenton is the CEO of Unify, on a mission tounify and simplify the LLM landscape. He has a background in machine learning deployment, as well as in robotics and computer vision. Daniel is an intellectual and creative problem solver who values consistency, balance, and expectation management when building a startup.💡 In this episode...... we discuss Daniel's background
#76 - MLOps, Agents, Productivity, Podcasting & Voice Agents with Demetrios Brinkmann
🎙️ Who is Demetrios Brinkmann?Demetrios Brinkmann is the Founder and CEO of the MLOps Community, and also serves as a Conference Host. He is an expert in AI implementation for technical & non-technical professionals and has extensive knowledge of workflow optimization and AI automation. He has a passion for helping people find joy in AI implementation, and believes in augmenting expertise with
#75 - AI, Omnichannel Content Strategy & Journey Mapping with Noz Urbina
🎙️ Who is Noz Urbina?Noz Urbina is a content value designer, strategist, and podcaster who specializes in helping enterprises leverage AI and omnichannel for building brands that have relationships with their customers and to foster communities digitally. He has over 14 years of experience in content strategy and customer experience consultancy, where he is a pioneer in adaptive content modelling
#74 - PhD, ML/LLM, RAG, Opensource & CTO with Markus Stoll
🎙️ Who is Markus Stoll?Markus Stoll is an expert AI guest who is well-versed in creating advanced software solutions for the efficient exploration of unstructured data. Markus is the Co-Founder and CTO of Renumics, a company that specializes in developing open-source tools for visualization in Data-Centric AI. Not only has Markus extensive experience in solving complex problems using workflow and
#73 - LLMs, RAG, Graph Neural Networks and Open Source with Maxime Labonne
🎙️ Who is Maxime Labonne?Maxime Labonne is a Staff Machine Learning Scientist at Liquid AI. Maxime received his PhD from the Polytechnic Institute of Paris and has been working with machine learning since 2019. He has applied his expertise in various contexts, including R&D, industry, finance, and academia. He is also an AI/ML Google Developer Expert. Maxime is widely known for creating popula
#72 - CMO at Neptune AI, Senior Data Scientist & Chess with Jakub Czakon
🎙️ Who is Jakub Czakon?Jakub Czakon is a senior data scientist turned CMO, currently working at neptune.ai. He has a strong background in AI and LLMs in marketing and has extensive knowledge on how to apply AI in marketing for practical implementation and trust navigation. Jakub draws inspiration from chess skill levels to teach us about data science and emphasizes the importance of learning by do
#71 - LLMs, Open-Source and Head of GTM at Adaptive ML with Andrew Jardine
🎙️ Who is Andrew Jardine?Andrew Jardine is the Head of GTM at Adaptive ML and an advocate for open-source ML. He is also the leader of the MLOps community in Toronto. Andrew's AI journey began as an early employee at Kira Systems, a Doc AI and NLP startup, where he developed the GTM playbook for the corporate market. He has since held commercial roles at Hugging Face, and worked in data science an
#70 - Data Engineering, Open Source and Dremio with Alex Merced
🎙️ Who is Alex Merced?Alex Merced is a senior technical evangelist at Dremio and co-author of "Apache Iceberg: The Definitive Guide." With a diverse career path that spans from finance to developer advocacy, he is a seasoned expert in data engineering and open standards for unifying diverse data solutions. Alex is passionate about the open-source community and the excitement around data lake house
#69 - CDO's, Data Governance & Master Data Management with Malcolm Hawker
🎙️ Who is Malcolm Hawker?Malcolm Hawker is the Head of Data Strategy at Profisee | Data Management. With over 25 years of experience in data and analytics, Malcolm is a recognized thought leader and advisor in the field of Master Data Management (MDM) and Data Governance. He has helped some of the world's largest businesses to improve their enterprise information management strategies and is passi
#68 - Head of Product at Onehouse, ex-Azure Databricks and Data Engineering with Kyle Weller
🎙️ Who is Kyle Weller?Kyle is Head of Product at Onehouse.ai and ex-Azure Databricks. With over a decade of experience in managing teams of 2-60 people, Kyle is a proven product leader who specializes in data engineering and lake house architectures. He has scaled products for global enterprises to drive modernization of their data estates. Kyle also volunteered as an Entrepreneurship Coach and me
#67 - Microsoft, Warehousing, Data Management and AI with James Serra
🎙️ Who is James Serra?James Serra is a Technical Specialist at Microsoft with over 35 years of expertise in data warehousing and data management, making him a thought leader in the use and application of Big Data technologies. He is also well-versed in a number of data design concepts and methodologies, including normalized, relational, dimensional, and columnar approaches. Moreover, he has been a
#66 - O'Reilly Author Learning Git and Technical Writing with Anna Skoulikari
🎙️ Who is Anna Skoulikari?Anna Skoulikari is a multi-faceted technical writer with expertise in git education and simplifying technical writing. She is also the author of a book titled 'Learning Git - A Hands-On and Visual Guide to the Basics of Git!' published by O'Reilly. Anna has a website and she also has a mailing list for those who want to receive updates on the things she does or creates. A
#65 - Data observability, Entrepreneurship and Scaling with Kunal Agarwal
🎙️ Who is Kunal Agarwal?Kunal Agarwal is CEO of Unravel Data. He has a background in leading sales and implementation of Oracle products at Fortune 100 organizations. As CEO, he serves as both chief cheerleader and curator of Unravel's culture, while also keeping the team focused on customer needs. Unravel's Data Observability Platform provides comprehensive insights and tools to improve the effic
#64 - LinkedIn's Country Manager Spain & Portugal, Career & Mentoring with Angel Sáenz de Cenzano
🎙️ Who is Angel Sáenz de Cenzano?Ángel Sáenz de Cenzano is LinkedIn's the Country Manager for Spain and Portugal. Ángel is a visionary leader with extensive experience in driving growth and propelling change mainly in the tech industry.💡 In this episode...... we discuss Ángel's plans and leadership strategies, aligning with executives, personal branding, and maximizing LinkedIn's potential for per
#63 - Lead Data Scientist, Clarity AI, Sustainability and Finance with Jaime Oliver Huidobro
🎙️ Who is Jaime Oliver Huidobro?Jaime Oliver Huidobro is a Lead Data Scientist at Clarity AI. He holds undergraduate and master's degrees in physics, mathematics, and economics, as well as an industrial PhD in mathematical engineering. Jaime's passion for environmental, social, and corporate governance (ESG) issues led him to conduct postdoctoral research at the MIT Aggregate Confusion Project, wh
# 62 - CDO at Microsoft & "Data Management at Scale" O'Reilly Author with Piethein Strengholt
🎙️ Who is Piethein Strengholt?Piethein is the Chief Data Officer for Microsoft in the Netherlands and has a vast amount of experience in data management. He has worked with leading corporations, such as ABN AMRO, and has established himself as a trusted advisor for C-level executives. Piethein is passionate about sharing his insights with the community and has authored "Data Management at Scale" (
#61 - MLOps, Leadership, Management & Growth with Raphaël Hoogvliets
🎙️ Who is Raphaël Hoogvliets?Raphaël is a data scientist and ML engineer (tech lead + trainer) who is highly skilled in leadership, team building, and fostering a positive working culture. Raphaël's passion for developing and nurturing young talent is evident through his mentorship and guidance of interns and junior colleagues, and his network of clients includes prominent names such as Rabobank,
#60 - The Entreprise Data Catalog, Federated Knowledge Graph and Data Mesh with Ole Olesen-Bagneux
🎙️ Who is Ole Olesen-Bagneux? Ole Olesen-Bagneux is globally recognized thought leader on data catalogs and enterprise data management. He is an O'Reilly author, with his book "The Enterprise Data Catalog" (2023). Ole holds a Ph.D. from the University of Copenhagen, in Library- and Information Science, and brings a wealth of hands-on data management and mesh experience to the conversation.💡 In thi
#59 - Leadership, Entrepreneurship, Team Building, Career and AI with Oleksandr Honchar
🎙️ Who is Oleksandr Honchar?Oleksandr Honchar is the Director of AI Engineering and Partner at Neurons Lab with over 10 years of experience in building science-heavy products. His mission is I help deep tech innovators to speed up AI R&D and build disruptive products. Previously he worked as an independent research engineer and tech leader (mostly with medical devices and in investment managem
#58 - ML, MLOps, Cybersecurity and Career with Apoorva Joshi
🎙️ Who is Apoorva Joshi?Apoorva Joshi is a Senior AI/ML Developer Advocate at MongoDB. With a Bachelor's and a Master's degree in Engineering, Apoorva has over 5 years of experience in applying ML to real-world problems in different industries including cybersecurity.💡 In this episode...... we discuss machine learning problems and approaches in cybersecurity, the field of data/ai, putting models i
#57 - Solutions Architect, Data and AI, AWS, Databricks, Ph.D and career with Houssem Chihoub
🎙️ Who is Houssem Chihoub?Houssem Chihoub is a Solutions Architect (Data and AI) at Databricks and have previously a Specialist Solutions Architect at AWS (Analytics). Houssem also have a Ph.D and had an early access to AWS around 2010 (fun fact hihi).💡 In this episode...... we discusses the benefits of cloud computing and working for tech pioneers in this field, as well as the differences between
#56 - Lead MLOps Engineer, Ph.D, Career and Growth Mindset with Médéric Hurier
🎙️ Who is Médéric Hurier?Médéric Hurier is a Lead MLOps Engineer with a Ph.D. in malware detection leveraging ML. His is also Freelance AI/ML/MLOps/LLMOps Engineer and Data Scientist. Médéric worked and collaborated with industry giants such as Google, BNP Paribas, ArcelorMittal, the European Commission, and Decathlon. He is also a dedicated MLOps Community Organizer and OpenClassrooms Mentor.💡 In
#55 - Data/Software engineering, Freelance, Career and Teaching with Christophe Blefari
🎙️ Who is Christophe Blefari?Christophe Blefari is a software/data engineer with over 8 years of experience and expertise in Python, Django, and JS/React, as well as 5 years of data hacking experience in Pandas, Hadoop, SQL, cloud/on-premise architecture, Spark, Airflow, dbt, BigQuery, and Snowflake. He is an advocate for DataOps and team leadership and also specializes in Python and Airflow.💡 In
#54 - Entrepreneurship, AI & Data Analytics, Career and Community with Leon Gordon
🎙️ Who is Leon Gordon?Leon is the Founder and CEO of Onyx Data, which provides end-to-end AI and data solutions, strategy and training for businesses looking to maximise their data insights. With a focus on helping clients unlock the true potential of their data, Onyx Data develops and executes high-performing data and analytics strategies through their Horizon packages, undertakes full-service da
#53 - AI, LLMs, Databricks, Research vs Private, and Hard vs Soft Skills with Anastasiia Prokaieva
🎙️ Who is Anastasiia Prokaieva? Anastasiia Prokaieva is an AI and GeoSpatial Specialist at Databricks, enthusiastic and autonomous ex-Research Scientist who turned her interests towards Data Science and Big Data in recent years. With her background in Experimental Nuclear Physics, Plasma Physics, Theoretical Physics, and Applied Mathematics, as well as Renewable Energy Science and Technologies. 💡
#52 - Data Engineering Past, Present and Future, and Career with Neelesh Salian
🎙️ Who is Neelesh Salian? Neelesh is a Principal Software Engineer at Salesforce, with experience in software and data infrastructure engineering. He has a passion for building distributed systems and product engineering, with a focus on customer experience. 💡 In this episode... ...we discuss Neelesh's journey in data infrastructure and technical leadership, his perspective on observability and le
#51 - Data Engineering, Open Source and productivity with Simon Späti
🎙️ Who is Simon Späti?
Simon is a Data Engineer and Technical Writer with over 20 years of experience in the field. Simon is a master at productivity combining being an author and blogger interested in stoicism and minimalism. As I am writing those lines he just released a book called "Data Engineering Design Patterns" for free (link below).
💡 In this episode...
... we discuss Simon's journey of
#50 - Neural Space: Language AI solutions for local languages with Felix Laumann
🎙️ Who is Felix Laumann?
Felix Laumann is the CEO & Co-Founder of NeuralSpace, an AI language company for local languages and dialects. He is committed to making AI technology linguistically inclusive, which inspired him to co-found NeuralSpace in 2019. Felix is an expert in Machine Learning and Artificial Intelligence, and his passion for language and culture has taken him on travels through
#49 - From Finance to Data, LinkedIn Instructor, DevRel and Community with Megan Lieu
🎙️ Who is Megan Lieu?
Megan Lieu has been growing in multiple roles in the data field while sharing her journey on linkedIn and actually works as a DevRel at Deepnote. She is a linkedin instructor, author of multiple successful courses and have built a community over 80k+ people on linkedIn.
💡 In this episode...
... we discuss about Megan's journey and growth in the data field. She discusses her
#48 - MLOps with MLOps Tech Lead Maria Vechtomova
🎙️ Who is Maria Vechtomova?
Maria Vechtomova is a MLOps Tech Lead passionate about streamlining processes and enhancing collaboration using MLOps. She has extensive 10+ years of experience, leading MLOps transformation and helping brands boost their MLOps maturity while improving security and transparency when it comes to ML model deployments. Maria share her thoughts and experiences through publ
#47 - Entrepreneurship, DE/DS, Agents, Overall Vision of 20+years in the field with Raphaël Mansuy
🎙️ Who is Raphaël Mansuy?
Raphaël Mansuy is a seasoned data and AI strategist with over 20 years of global technology leadership experience. He is on a mission to democratize data management and AI, empowering organizations to build robust, scalable data platforms that drive transformative business outcomes. With his consultative approach, he deeply understands the unique requirements and goals o
#46 - Data Eng./Data Sc., Data Projects, Accountability and Communication with Fabian Werkmeister
🎙️ Who is Fabian Werkmeister?
Fabian Werkmeister, an Data Scientist/Data Engineering with a background in business administration who turned to data science and fell in love with it. Fabian's ability to translate between business and tech gives him a comprehensive view of data projects from beginning to end.
💡 In this episode...
... we discuss Fabian's personal mission and love for creating in te
#45 - Data Science, Kaggle Master, ChatBots and Fraud Detection with Andrey Lukyanenko
🎙️ Who is Andrey Lukyanenko?
Andrey Lukyanenko is a data scientist with a strong track record in data science. He has a result-driven mindset and has previously worked as an ERP-system consultant, which has given him a deep understanding of various aspects of business operations. Andrey is a Kaggle Competition Master and has achieved the 1st rank in kernel ranking. He is passionate about applying
#44 - Data Scientist, AI Instructor and Autonomous Shopping with Jamshaid Sohail
🎙️ Who is Jamshaid Sohail?
Jamshaid Sohail is a data science master's graduate who is experienced in solving data science problems in the industry for four years. He is an alumnus of several renowned universities, including RWTH Aachen University (Germany), University of Cambridge (England), Lahore University of Management and Sciences (Pakistan), National University of Computer and Emerging Scien
#43 - Agostino Calamia: Senior Data Scientist at Shopify, ML Engineering, MLOps and Collaboration
🎙️ Who is Agostino Calamia?
Agostino Calamia is a Senior Data Scientist at Shopify with experience in the entire machine learning lifecycle. Agostino has been pivotal in scaling MVPs to 7-digit ARR products. In 2019, he transitioned from a Project Manager position to Data Science as he fell in love with the analytical part of businesses. Since then, he has worked with data teams for small, medium,
#42 - Principal Scientist, Elastic Search, Game Dev and Public Speaking with Susan Shu Chang
🎙️ Who is Susan Shu Chang?
Susan is a Principal Scientist at Elastic Search, an O'Reilly online course instructor, the author of the upcoming book "Machine Learning Interviews" (O'Reilly), and a speaker who has shared her knowledge and experience at several conferences worldwide.
Susan also worked in video game development where she learned valuable lessons in team growth and personal development
#41 - Data Engineering, DevRel, Content Creation and Career Tips with Mehdi Ouazza
🎙️ Who is Mehdi Ouazza?
Mehdi Ouazza is a data engineer turned developer advocate with over 10+ years of xp in the industry. He defines himself as a “data geek entrepreneur” who’s passionate about Big data, Data science, Web App and Music. Mehdi is the creator of the Data Creators Club and share content on youtube, substack and linkedIn.
💡 In this episode...
... we discuss Mehdi's philosophy on l
#40 - AI-Powered Business Intelligence, Data Science, Agile, Author & Career with Tobias Zwingmann
🎙️ Who is Tobias Zwingmann?
Tobias Zwingmann is an AI advisor, author, and online teacher who focuses on helping non-technical small or mid-sized B2B companies adopt AI and machine learning faster and deliver relevant business value. With over 15 years of professional experience in the corporate world, Tobias has developed an enterprise-wide data strategy, built data science use cases, and develop
#39 - Machine Learning Engineering, NLP & Psychology with with Tales Marra
🎙️ Who is Tales Marra?
Tales Marra is a Data Scientist and Machine Learning Engineer with a passion for deep learning. His career goals are focused on developing and implementing AI and machine learning solutions across a range of fields, such as natural language processing, recommender systems, and image processing.
💡 In this episode...
... we discuss Tales's career goals and experience in AI a
#38 - Data Engineering, Career, Mentor and Hands-On Learning with Andreas Kretz
🎙️ Who is Andreas Kretz?
Andreas Kretz is a Data Engineering expert and founder of LearnDataEngineering.com, where he teaches everything about becoming a Data Engineer or using Data Engineering in current jobs. With over 100,000 engineers and scientists in his network and a private engineering network of over 1000 students, Andreas is a mentor and recruiter for top Data Engineering talent. He has
#37 - Data Strategy, Data Science, CTO, Python & R with Boyan Angelov
🎙️ Who is Boyan Angelov?
Boyan Angelov is an experienced business and technology leader with a unique and amazing journey into data science, data strategy and is the author of the two books: "Python and R for the modern data scientist" (O'Reilly) and "Elements of Data Strategy". He have a robust history in architecting and implementing strategic solutions across a variety of organizational scales.
#36 - Essential Math for AI, Data Science and Data Engineering with Hala Nelson
🎙️ Who is Hala Nelson?
Hala is an Associate Professor at the Department of Mathematics and Statistics at James Madison University, and author of the book Essential Math for AI with O’REILLY Media. Hala have an amazing journey from partial differential equations to interdisciplinary applications, bridging the gap between academia and the real world in AI, and the importance of building a strong dat
#35 - Semantic Modeling, Ontology and Knowledge Graphs with Panos Alexopoulos
🎙️ Who is Panos Alexopoulos?
Panos Alexopoulos is a data and semantic technologies professional with a focus on the intersection of data, semantics, and software. He is the author of the book "Semantic Modeling for Data - Avoiding Pitfalls and Breaking Dilemmas," published by O'Reilly in September 2020. Panos is currently the Head of Ontology at Textkernel, where he leads a team of data profession
#34 - Apache Iceberg, Big Data, Data Architecture and Open-source with Dipankar Mazumdar
🎙️ Who is Dipankar Mazumdar?
Dipankar is a passionate Data Engineering and Data Science Advocate and a community-focused individual currently working at Dremio. His primary focus is to assist engineering teams in building and scaling robust data platforms using open-source solutions like Apache Iceberg, Apache Arrow & Project Nessie. Dipankar strongly advocates data practitioners about Dremio'
#33 - Data Observability, Spark and Career with Andy Petrella
🎙️ Who is Andy Petrella?
Andy Petrella is the founder of Kensu, a company focused on data observability to build trust in data teams. As a programming, mathematics, and data observability expert, he created Spark Notebook for data engineers and scientists using Spark and Scala. Andy's work with Kensu involves developing a unique "Data Observability Driven Development" solution that empowers data t
#32 - MLops, ML Engineer, AI systems and Deep Learning with Paul Iusztin
🎙️ Who is Paul Iusztin?
Paul Iusztin is a machine learning engineer with over 5 years of experience in the industry with a background in software engineering, and mathematics. He is passionate about building and engineering AI systems using MLOps good practices and active iteration problem-solving processes. Paul have strong experiences working in different machine learning job positions and offer
#31 - Deep Learning, Research, NLP, Career and Vector Databases with Nils Reimers
🎙️ Who is Nils Reimers?
Nils Reimers, a renowned NLP and Deep Learning researcher with extensive experience in representing text in dense vector spaces. He is the creator of SBERT.net and currently serves as the Director of Machine Learning at cohere.ai, where he is responsible for creating the world's best language models for search and content aggregation. Nils also into many others achievements
#30 - Scaling Machine Learning Models, Spark, Agile, Software Engineering and KPIs with Adi Polak
🎙️ Who is Adi Polak?
Adi Polak is Vice President of Developer Experience at Treeverse, a machine learning and data systems expert with a passion for building a better world through open collaboration. Adi brings her industry knowledge and research experience to educate and help teams design, architect, and build cost-effective data systems and machine learning pipelines with scalability, expertise
#29 - History, Philosophy, Superintelligence and Challenges of AI with William J. Littlefield II
🎙️ Who is William J. Littlefield II?
William J. Littlefield II is a technology entrepreneur, CTO at Wizest, and academic researcher in digital ethics and philosophy of technology. With extensive experience in fintech, software architecture, and complex API integrations, William has managed globally distributed engineering teams through complex projects. He leads from the front, prioritizing execut
#28 - Portfolio Theory, Data Science and Entrepreneurship with Peter Cotton
🎙️ Who is Peter Cotton?
Peter Cotton is a highly accomplished and experienced Quant who currently leads data science for Intech Investments, where he works on the theory and practice of portfolio construction. He has invented Schur Portfolio allocation, which unifies machine learning HRP and more traditional MPT approaches. With his expertise in the field, he has also created and maintained variou
#27 - Hands-On Learning, Research Papers and Open Source with ML Engineer Francesco Zuppichini
🎙️ Who is Francesco Zuppichini?
Francesco Zuppichini is a Machine Learning Engineer with a love for reconstructing and breaking things to uncover their inner workings. With a Bachelor's degree in Computer Science, he pursued his curiosity and fell in love with the possibilities of Artificial Intelligence, specifically deep learning. Francesco has worked on computer vision projects, NLP, reinforcem
#26 - Bridging the Gap Between Data and Strategy with Dylan Anderson
🎙️ Guest Description:
Dylan Anderson is a data strategy consultant and industry leader with a passion for bridging the gap between data and strategy. Dylan shares his journey to becoming a consultant, specializing in election analytics and data strategy consulting. He emphasizes the importance of building a strong foundation for data analytics and AI success, prioritizing meaningful metrics for c
#25 - Revolutionizing Government Decision-Making: The Power of Data Intelligence with Andrea Barenque
🎙️ Guest Description:
In this episode, we had the privilege of diving deep into the expertise of Andrea Barenque. With over eight years of experience as a civil servant for the Mexican government, Andrea brings a wealth of knowledge on using data to drive better decisions in government and building effective multidisciplinary teams for AI-driven solutions. Her remarkable career path, spanning from
#24 - The Influence of Coding and Math Skills in Analytics with Senior Data Analyst Jess Ramos
In this episode...
Today we are joined by Senior Data Analyst Jess Ramos. With a Master's in Business Analytics from UGA, Jess has found her passion for data where she uses her critical thinking, coding and Math skills daily. Jess is an empowering woman in the field of Analytics and is passionate about encouraging other women to pursue careers in Math and Analytics. Her unique Math background and
#23 - From Civil Engineering to Computer Vision: Piotr Skalski's Journey
In this episode...
In this episode, Piotr Skalski shares his insights on computer vision, machine learning, and deep learning. As a Medium blogger and creator of make sense.ai, an open-source online labeling tool and the onemetric library, he emphasizes the importance of open-source projects and monetizing them. Piotr talks about his journey from civil engineering to computer vision and machine le
#22 - AI Solutions for Social Problem-Solving with Lucía Tróchez Ardila
Episode Summary:
In this Let's Talk AI episode, Lucía Tróchez Ardila shares her experience in directing regional and global programs through multi-sector collaborations and AI solutions for social problem-solving. She highlights the importance of stakeholder involvement and measuring actionable insights, while also discussing initiatives in healthcare and conservation. Lucía also offers career adv
#21 Freelancing in Tech: Kristen Kehrer's Journey to Personal Branding and Finding Balance
In this episode we receive Kristen Kehrer, an analytics professional with over 12 years of experience. She shares insights on building a personal brand through content marketing and hosting cool data projects with Comet ML. Kristen also discusses her current role, fun data projects, tips on networking and learning in data science, and her transition to freelancing, along with tips on building a pe
#20 - AI Ethics and Governance for Latin America: Insights from Claudia May Del Pozov
In this episode, Claudia May Del Pozo, the Executive Director of the Eon Resilience Lab at C Minds, discusses her work in AI ethics and governance for Latin America. She talks about the importance of transparency and explainability in AI systems, and highlights various initiatives she has led to harness new technologies for social impact. Claudia also shares her insights on the potential of augmen
