Neil Leiser

AI Stories

Artificial Intelligence, Machine Learning, Data Science and Deep Learning are completely changing the world we live in today. Companies around the world start to make sensible use of big data to influence business decisions and create our future. From video recommendations to autonomous driving, from stock prediction to weather forecasting, the AI revolution is everywhere. The AI stories podcast brings together some of the best Data Scientists, Machine Learning Engineers, Business leaders and researchers that are at the front of this revolution. They are here to talk about their career, how th...

Author

Neil Leiser

Category

Technology

Podcast website

aistories.buzzsprout.com

Latest episode

Jun 26, 2025

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Episodes

Why Data Scientists Don’t Get Hired — And How to Fix It with Dawn Choo #61 26.06.2025

Our guest today is Dawn Choo, founder of Interview Master and ex Data Scientist from Amazon and Meta.  In our conversation, we first dive into Dawn's past Data Science projects at Amazon and Instagram. She explains how a pet project skyrocketed her career at Amazon and also shares details on the most impactful project that she worked on at Instagram.  We then discuss Dawn's experience li...

Polars: Fast & Efficient Data Manipulation with Ritchie Vink #60 24.04.2025

Our guest today is Ritchie Vink, CEO & Founder of Polars: an open source data manipulation library known for being extremely fast. As of today, polars has over 32k stars on github.  In our conversation, Ritchie first explains how Polar which started as a side project evolved to what it is today. We then discuss the differences between Polars and Pandas, why Polars is fast and optimised and dig...

How He Developed the World's Best Search Agent with Philippe Mizrahi #59 03.04.2025

Our guest is Philippe Mizrahi, CEO of Linkup: a french startup building the world's best search agents.  In our conversation, Philippe first shares how he got into search by building an internal dataset search tool at Lyft. We then dive into Linkup where Phil explains how linkup started, how it evolved and how they managed to build the best search agents achieving state-of-the-art results on...

Building Production Grade Agents with Samuel Colvin #58 20.03.2025

Our guest is Samuel Colvin, Co-Founder and CEO of pydantic: a data validation library with millions of downloads per month.  In our conversation, we first discuss Pydantic and their observability platform: logfire. We then dive into agents where Samuel shares his vision on how to build production ready agents and what makes PydanticAI different than other frameworks.  If you enjoyed the episode, p...

11 years at Google with Max Buckley #57 27.02.2025

👉 From beginner to advanced LLM developer course by Towards AI (use the code AISTORIES10 to get a 10% discount): https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=63e5e3 👉 8-hour GenAI Primer course by Towards AI (use the code AISTORIES10 to get a 10% discount): https://academy.towardsai.net/courses/8-hour-genai-primer?ref=63e5e3 Our guest today is Max Buckley, Senior Softwa...

Post Deployment Data Science with Wojtek Kuberski #56 13.02.2025

👉 From beginner to advanced LLM developer course by Towards AI (use the code AISTORIES10 to get a 10% discount): https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=63e5e3 👉 8-hour GenAI Primer course by Towards AI (use the code AISTORIES10 to get a 10% discount): https://academy.towardsai.net/courses/8-hour-genai-primer?ref=63e5e3 Our guest today is Wojtek Kuberski, Co-Founde...

Llama 2, Llama 3, Agents & AGI with Thomas Scialom #55 23.01.2025

Our guest today is Thomas Scialom, Senior Staff Research Scientist at Meta. In our conversation, we first discuss Thomas' PhD where he explains how he managed to publish around 20 academic papers. We then dive into several LLMs that Thomas built at Meta including Galactica, Llama 2 and Llama 3. We finally dig into AI Agents, their limitations and how close we are to AGI and ASI. If you enjoye...

End To End MLOps with Başak Eskili #54 09.01.2025

Our guest today is Ba ş ak Eskili, Machine Learning Engineer at Booking.com and C-Founder of Marvelous MLOps. In our conversation, we first dive into MLOps, its key components and how Ba ş ak got into the field. We then talk about Marvelous MLOps and her new course: "End to end MLOps with Databricks". Ba ş ak finally shares more about her current role at Booking with a focus on building...

TimeGPT, Nixtla & Forecasting with Max Mergenthaler #53 10.12.2024

Our guest today is Max Mergenthaler, Co-Founder and CEO of Nixtla: one of the most popular libraries for time series forecasting. In this conversation, Max first explains how he got into AI and the lessons he learned from building a couple of tech startups. We then dive into Nixtla and forecasting. Max explains how he founded Nixtla and the different libraries available to build stats, ml and deep...

Build LLMs From Scratch with Sebastian Raschka #52 21.11.2024

Our guest today is Sebastian Raschka, Senior Staff Research Engineer at Lightning AI and bestselling book author. In our conversation, we first talk about Sebastian's role at Lightning AI and what the platform provides. We also dive into two great open source libraries that they've built to train, finetune, deploy and scale LLMs.: pytorch lightning and litgpt. In the second part of our c...

Code Generation & Synthetic Data With Loubna Ben Allal #51 07.11.2024

Our guest today is Loubna Ben Allal, Machine Learning Engineer at Hugging Face 🤗 . In our conversation, Loubna first explains how she built two impressive code generation models: StarCoder and StarCoder2. We dig into the importance of data when training large models and what can be done on the data side to improve LLMs performance. We then dive into synthetic data generation and discuss the pros...

He Built an AI Football Coach Assistant & Google Maps Algorithm with Petar Veličković #50 22.10.2024

Our guest today is Petar Veličković, Staff Research Scientist at Google DeepMind and Affiliated Lecturer at University of Cambridge. In our conversation, we first dive into how Petar got into Graph ML and discuss his most cited paper: Graph Attention Networks. We then dig into DeepMind where Petar shares tips and advice on how to get into this competitive company and explains the difference betwee...

Fine-Tuning LLMs, Hugging Face & Open Source with Lewis Tunstall #49 20.06.2024

Our guest today is Lewis Tunstall, LLM Engineer and researcher at Hugging Face and book author of "Natural Language Processing with Transformers". In our conversation, we dive into topological machine learning and talk about giotto-tda, a high performance topological ml Python library that Lewis worked on. We then dive into LLMs and Transformers. We discuss the pros and cons of open sour...

MLOps Engineering & Coding Best Practices with Maria Vechtomova #48 30.05.2024

Our guest today is Maria Vecthomova, ML Engineering Manager at Ahold Delhaize and Co-Founder of Marvelous MLOps. In our conversation, we first talk about code best practices for Data Scientists. We then dive into MLOps, discuss the main components required to deploy a model in production and get an overview of one of Maria's project where she built and deployed a fraud detection algorithm. We...

OpenAI, AGI, LLMs Eval & Applied ML with Reah Miyara #47 16.05.2024

Our guest today is Reah Miyara. Reah is currently working on LLMs evaluation at OpenAI and previously worked at Google and IBM. In our conversation, Reah shares his experience working as a product lead for Google's graph-based machine learning portfolio. He then explains how he joined OpenAI and his role there. We finally talk about LLMs evaluation, AGI, LLMs safety and the future of the fiel...

Google, Gemini, Cloud & LLMOps with Erwin Huizenga #46 25.04.2024

Our guest today is Erwin Huizenga, Machine Learning Lead at Google and expert in Applied AI and LLMOps. In our conversation, Erwin first discusses how he got into the field and his previous experiences at SAS and IBM. We then talk about his work at Google: from the early days of cloud computing when he joined the company to his current work on Gemini. We finally dive into the world of LLMOps and s...

Deep Learning for Autonomous Driving with Andras Palffy #45 10.04.2024

Our guest today is Andras Palffy, Co-Founder of Perciv AI: a startup offering AI based software solutions to build robust and affordable autonomous systems. In our conversation, we first talk about Andras' PhD focusing on road users detection. We dive into AI applied to autonomous driving and discuss the pros and cons of the most common pieces of hardware: cameras, lidars and radars. We then...

Launching 7-Figures AI Products With Franziska Kirschner #44 26.03.2024

Our guest today is Franziska Kirschner, Co-Founder of Intropy AI and ex AI & Product Lead at Tractable: the world’s first computer vision unicorn. In our conversation, we dive into Franziska's PhD, her career at Tractable and her experience building deep learning algorithms for computer vision products. She explains how she climbed the ladder from intern to AI Lead and shares how she laun...

How He Built The Best 7B Params LLM with Maxime Labonne #43 07.03.2024

Our guest today is Maxime Labonne, GenAI Expert, book author and developer of NeuralBeagle14-7B, one of the best performing 7B params model on the open LLM leaderboard. In our conversation, we dive deep into the world of GenAI. We start by explaining how to get into the field and resources needed to get started. Maxime then goes through the 4 steps used to build LLMs: Pre training, supervised fine...

From Biostatistician to DevRel at Deci AI with Harpreet Sahota #42 19.02.2024

Our guest today is Harpreet Sahota, Deep Learning Developer Relations Manager at Deci AI.  In our conversation, we first talk about Harpreet’s work as a Biostatistician and dive into A/B testing. We then talk about Deci AI and Neural Architecture Search (NAS): the algorithm used to build powerful deep learning models like YOLO-NAS. We finally dive into GenAI where Harpreet shares 7 prompting tips...

Building AI Startups & Raising Funds with Ryan Shannon #41 29.01.2024

Our guest today is Ryan Shannon, AI Investor at Radical Ventures, a world-known venture capital firm investing exclusively in AI. Radical's portfolio includes hot startups like Cohere, Covariant, V7 and many more.  In our conversation, we talk about how to start an AI company & what makes a good founding team. Ryan also explains what he and Radical look for when investing and how they hel...

Interpreting Black Box Models with Christoph Molnar #40 10.01.2024

Our guest today is Christoph Molnar, expert in Interpretable Machine Learning and book author.  In our conversation, we dive into the field of Interpretable ML. Christoph explains the difference between post hoc and model agnostic approaches as well as global and local model agnostic methods. We dig into several interpretable ML techniques including permutation feature importance, SHAP and Lime. W...

From English Teacher to MLOps Leader with Demetrios Brinkmann #39 19.12.2023

Our guest today is Demetrios Brinkmann, Founder and CEO of the MLOps Community. In our conversation, Demetrios first explains how he transitioned from being an English teacher to working in sales and then founding the MLOps community. He also talks about the role of MLOps in the ML lifecycle and shares a bunch of resources to level up your MLOps skills. We then dive into the hot topic of GenAI and...

MLOps & LLMOps with Noah Gift #38 30.11.2023

Our guest today is Noah Gift, MLOps Leader and award winning book author. Noah has over 30 years of experience in the field and has taught to hundreds of thousands of students online. In our conversation, we first talk about Noah's experience building data pipelines in the movie industry and his experience in the startup world. We then dive into MLOps. Noah highlights the importance of MLOps,...

Building Over 1000 Models for Uber with Marianne Ducournau #37 16.11.2023

Our guest today is Marianne Ducournau, Head of Data Science at Qonto and ex Data Scientist at Amazon and Uber. In our conversation, we first discuss Marianne's first job in Data Science working in the public sector and managing a 10-15 people team. Marianne then talks about her experience at Uber and shares various projects that she worked on. We dive into price elasticity modelling and finan...

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