← Countries Speakers / Countries / Netherlands AI speakers in Netherlands, verified 141 people who demonstrably spoke at an event in Netherlands — most recently
active first, every talk linked to its public agenda.
Took a stage in ES
NL
last spoke Sept 2026 “Taking Flight: Zero-Copy Data Transfer at Scale with Apache Arrow Flight and Friends” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 1 talk before it
Took a stage in NL
GB
last spoke Sept 2026 CT Cheuk Ting Ho After having a career in Data Scientist and Developer Relations, Cheuk dedicated her work to the ope
“Do you know how well your model is doing? Evaluate your LLMs” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 7 talks before it
Took a stage in NL
GB
LT
GR
PL
CZ
last spoke Sept 2026 “Beyond LLM-as-Judge: Using GLIDE for Reliable, Scalable Evaluation of GenAI Systems” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “LLM Evaluation in Production: A/B Testing and Observability” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 1 talk before it
Took a stage in NL
LT
last spoke Sept 2026 ÖÇ Özge Çinko Hello world! 👋 I'm Özge Çinko. I'm currently an AI Engineer at ING, working around agentic AI. Befo
“LLM Evaluation in Production: A/B Testing and Observability” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 2 talks before it
Took a stage in NL
GB
LT
last spoke Sept 2026 “Stop Early, Decide Smarter: Bayesian Sequential Testing for LLM Benchmarking” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Reuniting the two distant cousins: Orchestrating your end-to-end Data Engineering Workflow Leveraging Python in Apache Beam and Apache Airflow” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Answers you can question: building a verifiable AI analytics agent” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Data First, Model Second: Three Strategies for Production Computer Vision” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 Took a stage in NL
CZ
last spoke Sept 2026 “When Should AI Speak? Letting Agents Decide When It's Their Turn” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “When RAG is not enough: Architecting for 10M+ context windows” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 BB Bauke Brenninkmeijer I’m an experienced AI engineer, having built ML and AI projects in a variety of industries. After working for several st
“Evaluating Agents at Scale: From 50 Examples to a Production Flywheel” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 1 talk before it
Took a stage in NL
last spoke Sept 2026 “Agent-Friendly Data Platforms: Semantic Layers, Tool APIs, and Guardrails for Agentic” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Systems for Scale: Architecting a Nationwide Energy Forecasting Platform” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Systems for Scale: Architecting a Nationwide Energy Forecasting Platform” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “When Should AI Speak? Letting Agents Decide When It's Their Turn” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Data First, Model Second: Three Strategies for Production Computer Vision” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Deterministic Orchestration for ML Experiments with Coding Agents” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 4 talks before it
Took a stage in NL
DE
CZ
last spoke Sept 2026 “The A/B Testing Blind Spot: Solving the Opt-In Paradox with Randomized Encouragement and DoubleML” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 Took a stage in NL
GB
CZ
last spoke Sept 2026 “The A/B Testing Blind Spot: Solving the Opt-In Paradox with Randomized Encouragement and DoubleML” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “When one score is not enough: matching real-world groundwater time series at scale” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 Took a stage in NL
last spoke Sept 2026 “Trillion-Token Pretraining: Building a Foundational Model for payment data” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 Took a stage in NL
last spoke Sept 2026 “Scheduling at Scale: Building a Railway Timetable Optimizer in Python” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Systems for Scale: Architecting a Nationwide Energy Forecasting Platform” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Open Weights, Cloud Scale: Architecture Patterns for Faster and Cheaper Production Agents” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Deterministic Orchestration for ML Experiments with Coding Agents” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 4 talks before it
Took a stage in NL
DE
CZ
last spoke Sept 2026 “AI You Can Bet Your Business On: How Mars' Context-Lake Builds the Trust Bridge Between People and AI” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Trillion-Token Pretraining: Building a Foundational Model for payment data” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Serving Personalized ML at Scale with Evolving Runtimes” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Computer Use Beyond the Demo: Bringing Legacy Systems into the Agentic Era” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Modernizing Spark: Performance Boost without Rewrite” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Modernizing Spark: Performance Boost without Rewrite” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “When should an AI Agent say "I Don't Know"? Confidence, routing, and multi-turn evaluation in a LLM system” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 TN Thijs Nieuwdorp Thijs Nieuwdorp is the Lead Data Scientist at Xomnia in Amsterdam. His interest in the interaction between human and com
“The New Polars Engine That Tackles Megabyte to Terabyte Workloads” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 2 talks before it
Took a stage in NL
GB
last spoke Sept 2026 Took a stage in NL
last spoke Sept 2026 “Scheduling at Scale: Building a Railway Timetable Optimizer in Python” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “The Context Trap: Addressing Item Neglect and Calibration in Deep Point-Wise Rankers” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “The Context Trap: Addressing Item Neglect and Calibration in Deep Point-Wise Rankers” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “A short tour of forgotten Machine Learning algorithms” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Real-time vs Batch Features for ML: Lessons from Fraud Detection at Scale” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Your A/B Test Is Leaking: Practical Lessons in Measuring Network Effects” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “From Query to Discovery: Building an AI Agent That Helps Travelers Explore” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “DuckLake: The Lakehouse That Finally Embraces the Database” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “From LLMs to Agents and from words to actions” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 1 talk before it
Took a stage in NL
GB
last spoke Sept 2026 JJ Jeroen Janssens Jeroen Janssens, PhD, is a Senior Developer Relations Engineer at Posit, PBC. His expertise lies in visualizing data, im
“The modern tool builder: CLIs, agents, and PEP 723” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 2 talks before it
Took a stage in NL
GB
last spoke Sept 2026 “A/B Testing Plenary Debates in the Dutch Parliament with Multi-Agent AI using LangGraph” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 JB Jodie Burchell Dr. Jodie Burchell is the Developer Advocate in Data Science at JetBrains, and was previously a Lead
“Reliable, rigorous, wrong: A psychometric view of LLM evals” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 2 talks before it
Took a stage in NL
CZ
last spoke Sept 2026 “The unreasonable effectiveness of DAS: ML on fiber-optic vibration data for rail monitoring” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Embed First, Predict Later: Energy forecasting from weather embeddings” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 KT Konstantinos Tsoumas Konstantinos is a data scientist currently working at Mars with over 3,5 years of experience in the Data Science industr
“Maybe 3 Minutes, Maybe Chaos – when Conformal Prediction meets my commuting life” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 1 talk before it
Took a stage in NL
last spoke Sept 2026 “The Context Trap: Addressing Item Neglect and Calibration in Deep Point-Wise Rankers” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Beyond the Holdout: Mitigating Censoring Bias with Asymmetric IPW” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 Took a stage in NL
GB
LT
FR
last spoke Sept 2026 Took a stage in NL
last spoke Sept 2026 “Enhance: Feeding the World with Data through Multi-Objective Optimization” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 Took a stage in NL
last spoke Sept 2026 “When Context Breaks: Recursive Language Models with DSPy” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Distilling LLMs into Classical ML for 5,000+ Classes” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Beyond Benchmarks: Optimizing LLMs and Puzzle Agents for Cryptic Crosswords” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 Took a stage in NL
last spoke Sept 2026 “Scaling Two-Way Fixed Effects Models in Python with pyfixest: Lessons from Airline Pricing” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “The unreasonable effectiveness of DAS: ML on fiber-optic vibration data for rail monitoring” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “From Query to Discovery: Building an AI Agent That Helps Travelers Explore” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Cold Start at Scale: Three Years of Experiments in a Travel Marketplace” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 3 talks before it
Took a stage in NL
CZ
GB
DE
last spoke Sept 2026 “Your dashboard is too late: Building real-time KPI alerting systems with Python” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 AH Adam Hill Adam is the Interim Director of Data Science at ComplyAdvantage, where he leads a brilliant team tackling financial crim
“From Chat-with-PDF to Quiz-Master: Live-Grading RAG with LLM-as-Judge in Python” · PyData London 2026 · Jun 2026 source · pretalx.com ↗ and 2 talks before it
Took a stage in GB
NL
last spoke Jun 2026 GD Gergely Daroczi Gergely Daroczi, PhD, is a passionate R/Python user and package developer for two decades. With over 15 years in the ind
“SELECT instance FROM cloud WHERE workload = ? ORDER BY cost_efficiency” · PyData London 2026 · Jun 2026 source · pretalx.com ↗ and 1 talk before it
Took a stage in GB
NL
last spoke Jun 2026 “Learn to Unlock Document Intelligence with Open-Source AI” · PyData London 2026 · Jun 2026 source · pretalx.com ↗ and 1 talk before it
Took a stage in GB
NL
last spoke Jun 2026 “Hacking Big Iron With AI: Attacking Mainframe Operating Systems Beyond Modern Assumptions” · OrangeCon 2026 · Jun 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Jun 2026 “Password Analysis - The forgotten step (with a dash of AI)” · OrangeCon 2026 · Jun 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Jun 2026 “Password Analysis - The forgotten step (with a dash of AI)” · OrangeCon 2026 · Jun 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Jun 2026 “0days on a Shoestring: Breaking Embedded Systems with LLMs and Junk Hardware” · OrangeCon 2026 · Jun 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Jun 2026 “How to Prompt for Vulnerabilities in LLM-based applications with Extensions, the ProViLE approach.” · OrangeCon 2026 · Jun 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Jun 2026 Took a stage in LT
NL
FR
last spoke Apr 2026 “Scaling Trust: A practical guide on evaluating LLMs and Agents” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ Took a stage in NL
last spoke Sept 2025 AK Arda Kaygan Arda is a data scientist, comedy enthusiast, and a self-proclaimed comfort-zone escaper. Originally from Turkey, he grad
Took a stage in NL
last spoke Sept 2025 DB Dima Baranetskyi Dima Baranetskyi is a Technical Lead and Senior Data Engineering Consultant with a background in software and data engin
Took a stage in NL
last spoke Sept 2025 EP Evertjan Peer Evertjan Peer is a Tech Lead at KickstartAI, where he focuses on delivering business impact through accelerating AI adop
Took a stage in NL
last spoke Sept 2025 FL Fabio Lipreri I am a Data Scientist with a computer science background. I love solving hard problems using math, statistics and machin
Took a stage in NL
last spoke Sept 2025 GC George Chouliaras Experienced AI practitioner with more than 7 years of experience in building and deploying AI systems. I have a particul
“Scaling Trust: A practical guide on evaluating LLMs and Agents” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ Took a stage in NL
last spoke Sept 2025 HM Hannes Mühleisen Prof. Dr. Hannes Mühleisen is a creator of the DuckDB database management system and Co-founder and CEO of DuckDB Labs,
“Minus Three Tier: Data Architecture Turned Upside Down” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ and 1 talk before it
Took a stage in NL
DE
last spoke Sept 2025 Iv Inge van den Ende At Dexter Energy, Inge, a data scientist, is developing machine learning-powered products for short-term power trading o
“Kickstart Your Probabilistic Forecasting with Level Set and Quantile Regression Forests” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ Took a stage in NL
last spoke Sept 2025 IG Iva Gornishka Iva is a data scientist at the City of Amsterdam, where she researches the responsible use of AI for municipal use cases
Took a stage in NL
last spoke Sept 2025 “Composable Pipelines for ML: Automating Feature Engineering with Hopsworks’ Brewer” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ and 1 talk before it
Took a stage in NL
DE
last spoke Sept 2025 JD Judith Dijk Judith Dijk has more than 25 years of experience in the field of Imaging and Artificial Intelligence. The focus of her r
“Image processing, artificial intelligence, and autonomous systems” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ Took a stage in NL
last spoke Sept 2025 LS Laurens Samson Laurens Samson leads a development team at the City of Amsterdam that guides the implementation of LLMs across municipal
Took a stage in NL
last spoke Sept 2025 MM Manolis Manousogiannis Manolis Manousogiannis is a Senior Data Engineer in Eneco's Energy Trading team, specializing in distributed data proces
“Data that Keeps Our Energy in Balance - From churn prediction with deep learning to real-time trading systems” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ Took a stage in NL
last spoke Sept 2025 MJ Manu Joseph Manu S.Joseph is a Software Engineer at Hopsworks, where he works on advancing the Hopsworks AI LakeHouse. He did his Ma
Took a stage in NL
last spoke Sept 2025 MB Maria Bader As a Senior Data Scientist at Mollie, Maria has transitioned from data nerd to AI whisperer. By delivering many AI solut
Took a stage in NL
last spoke Sept 2025 ML Miguel Leite I’m an ML Scientist fighting fraud at Adyen. I also help implementing software engineering best practices in ML projects
“Declarative Feature Engineering: Bridging Spark and Flink with a Unified DSL” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ Took a stage in NL
last spoke Sept 2025 MC Muhammad Chenariyan Nakhaee I am an AI specialist at Exact, where I work with Python during the day. In my spare time, I explore my true passion for
Took a stage in NL
last spoke Sept 2025 OL Oscar Ligthart I am a technical lead within the data platform team at Vinted, building tooling to empower our users to create data prod
“Orchestrating success: How Vinted standardizes large-scale, decentralized data pipelines” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ Took a stage in NL
last spoke Sept 2025 PE Pablo Estevez Pablo Estevez leads Data and Machine Learning in Eneco’s Energy Trading teams. For more than ten years he has worked acr
“Data that Keeps Our Energy in Balance - From churn prediction with deep learning to real-time trading systems” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ Took a stage in NL
last spoke Sept 2025 RM Raphael Mitsch I'm a machine learning engineer, these days mostly working in natural language processing. I have soft spots for data vi
Took a stage in NL
last spoke Sept 2025 RL Rodrigo Loredo With over 8 years of experience working with data, I've explored various roles. Currently, I work as a Lead Analytics En
“Orchestrating success: How Vinted standardizes large-scale, decentralized data pipelines” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ Took a stage in NL
last spoke Sept 2025 SR Shimanto Rahman Hi, I am Shimanto Rahman a PhD student at Ghent University. In my PhD I specialize in measuring machine learning models
“Optimize the Right Thing: Cost-Sensitive Classification in Practice” · PyData Amsterdam 2025 · Sept 2025