PyCon DE & PyData Berlin 2024 — the speakers, verified

Berlin, Germany · April 2024 · organized by Python Software Verband e.V. & NumFOCUS

81 speakers below were extracted from the event's public agenda, and PyCon DE & PyData Berlin 2024 publishes its own site.

Who spoke, and about what

• Jon Nordby — Jon is a Machine Learning Engineer specialized in IoT systems.
  • Machine Learning on microcontrollers using MicroPython and emlearn source
• Theodore Meynard — Data Science Manager at GetYourGuide
  • DDataflow: An open-source end-to-end testing framework for ML pipelines source
• Katharine Jarmul — Building Privacy-first Data and AI/ML Systems, Products and Platforms
  • Your Model _Probably_ Memorized the Training Data source
• Marco Gorelli — Senior Software Engineer at Quansight Labs
  • Polars and Time Series: what it can do, and how to overcome any limitation source
• Guillaume Lemaitre — I have a PhD in computer science and have been a scikit-learn and imbalanced-learn core developer since 2017. I am curre
  • A Retrieval Augmented Generation system to query the scikit-learn documentation source
• Umut Nefta Kanilmaz — I am a researcher and PhD candidate at the department of Geoinformatics at the University of Salzburg. My research focus
  • Analyzing COVID-19 Protest Movements: A Multidimensional Approach Using Geo-Social Media Data source
• John Sandall — John Sandall is the CEO and Principal Data Scientist at Coefficient.
  • Whispered Secrets: Building An Open-Source Tool To Live Transcribe & Summarize Conversations source
• Ines Montani — Ines Montani is a developer specializing in tools for AI and NLP technology. She’s the co-founder and CEO of Explosion a
  • The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs source
• Manish Saraswat — Manish is currently working as a Senior Data Scientist with a strong focus on building, deploying and serving models. Wi
  • Better search relevance using Learning to Rank at mobile.de source
• Silvano Cerza — Generalist software engineer that worked in tons of different languages. Expert in Python and C++. Worked for companies
  • Haystack 2.0: the story of a rewrite source
• Florian Roscheck — Florian is a Sr. Data Scientist at Henkel where he develops machine learning solutions for R&D and production use cases
  • From idea to production in a day: Leveraging Azure ML and Streamlit to build and user test machine learning ideas quickly source
• Uwe L. Korn — Uwe Korn is a CTO at the data science company QuantCo. His expertise is in building scalable architectures for machine l
  • Going beyond Parquet's default settings – be surprised what you can get source
• Ignacio Vergara
  • Bridging the Gap: From Analytical Models to Operational Success source
• Nick Harmening — Software Engineer at QuantCo, former Cloud Architect and DevOps team lead at BMW Group. I love building and running syst
  • Bridging the Gap: From Analytical Models to Operational Success source
• Gregor Bauer — Gregor Bauer from Couchbase is driven by understanding customer needs and delivering suitable solutions. With a telecomm
  • Select ML from Databases source
• Miguel de Benito Delgado — After several years working as a software developer, Miguel pursued studies in pure mathematics in Madrid and Munich. Af
  • Data valuation for machine learning source
• Kristof Schröder — After completing his PhD in applied mathematics, specializing in applied
  • Data valuation for machine learning source
• Juan Orduz — Juan is a Mathematician (Ph.D. Humboldt Universität zu Berlin) and data scientist. He is interested in interdisciplinary
  • A conceptual and practical introduction to Hilbert Space Gaussian Process (HSGP) approximation methods source
• Noé Achache — I am a Lead Data Scientist at Sicara, where I worked on a wide range of projects mostly related to vector databases, com
  • RAG for a medical company: the technical and product challenges source
• Robson Junior — Robson has been a developer since 2003 with a multifaceted life. Since 2014, I transitioned my career to be a Data Engin
  • The pragmatic Pythonic data engineer source
• Charles Truong — Charles Truong is a researcher at Centre Borelli, ENS Paris-Saclay, France. His research interests lie between signal pr
  • Everything you need to know about change-point detection source
• Usman Gohar — Usman is a Machine Learning Engineer working for Xebia Data, with an interest for graph theory, low-level machine learni
  • Using LLMs to Create Knowledge Graphs From a Large Corpus of Parliamentary Debates source
• Lea Petters — Lea Petters holds a PhD in Behavioral Economics and works as a Data & AI expert at inovex. Her industry expertise spans
  • Best of both worlds - How we built an AI-aided content creation tool for language learning source
• Hector Hernandez — Hector Hernandez is a language educator, currently serving as a Computational Linguist at Babbel. With 12 years in Secon
  • Best of both worlds - How we built an AI-aided content creation tool for language learning source
• Christian Leschinski — Dr. Christian Leschinski leads the data science team and the Customer Intelligence team at Axel Springer National Media
  • Tailored and Trending: Key learnings from 3 years of news recommendations source
• Tun Shwe — Tun Shwe is the VP of Data at Quix, where he leads data strategy and developer relations. He is focused on helping compa
  • Moving from Offline to Online Machine Learning with River source
• Nataliia Kees — I am a Data Scientist at Airbus, where I am a part of the team Digital, building AI products which empower engineering,
  • Put your RAG to the test: Component-per-component evaluation of our LLM-powered airplane manufacturing assistant source
• Aleksey Veresov — Jim Dowling is CEO of Hopsworks and an Associate Professor at KTH Royal Institute of Technology. He is lead architect of
  • Build TikTok's Personalized Real-Time Recommendation System in Python with Hopsworks source
• Pavithra Eswaramoorthy — Pavithra Eswaramoorthy is a Developer Advocate at [Quansight](https://quansight.com/), where she works to improve the de
  • Build an AI Document Inquiry Chat with Offline LLMs source
• Philip Meier — Philip is a Senior Software Engineer at Quansight. His recent worked focused on Ragna (https://ragna.chat) an OSS RAG or
  • Build an AI Document Inquiry Chat with Offline LLMs source
• Hannes Mühleisen — Prof. Dr. Hannes Mühleisen is a creator of the DuckDB database management system and Co-founder and CEO of DuckDB Labs,
  • Keynote - Safe Space or Trap? Creating Software like DuckDB in Academic Institutions source
• Ferdinand Schenck — I am a Machine Learning Engineer at LiveEO currently focused on applying Machine Learning techniques to remote sensing d
  • 🌳 The taller the tree, the harder the fall. Determining tree height from space using Deep Learning and very high resolution satellite imagery 🛰️ source
• Thomas Fraunholz — Meet Thomas, a passionate advocate for science, particularly in the realm of applied mathematics. Following his doctoral
  • Unlock the Power of Dev Containers: Build a Consistent Python Development Environment in Seconds! source
• Javier de la Rúa Martínez — Javier is a Research Engineer at Hopsworks where he actively contributes to advancing the
  • Build a personalized Bitcoin (BTC) virtual assistant in Python with Hopsworks and LLM function calling source
• Alexander Meier — I’m an experienced Data Scientist with a strong background in Software Engineering and a PhD in Mathematical Statistics.
  • Tackling the Cold Start Challenge in Demand Forecasting source
• Daria Mokrytska — Data Scientist from Heidelberg, Germany. The central focus of my work is time series forecasting, with a specific emphas
  • Tackling the Cold Start Challenge in Demand Forecasting source
• Mirza Klimenta — Mirza Klimenta received his PhD in Computer Science from the University of Konstanz (Germany) at age 25. While in academ
  • Content Recommendation with Graphs: From Basic Walks to Neural Networks source
• Marcel Kurovski — Senior Data Scientist in Wolt's Personalization Team working on Carousel Ranking and Personalized Recommendations. Show
  • Personalizing Carousel Ranking on Wolt's Discovery Page: A Hierarchical Multi-Armed Bandit Approach source
• Steffen Klempau — After graduating with a business information systems degree from HS Fresenius, Steffen started working as a Data Enginee
  • Personalizing Carousel Ranking on Wolt's Discovery Page: A Hierarchical Multi-Armed Bandit Approach source
• Philipp Millet — With a background in particle physics, Philipp Millet has been working as Data Scientist for HotSprings/Umlaut/Accenture
  • Time series anomaly detection with a human-in-the-loop source
• Adrian Boguszewski — AI Software Evangelist at Intel. Adrian graduated from the Gdansk University of Technology in the field of Computer Scie
  • Cloud? No Thanks! I’m Gonna Run GenAI on My AI PC source
• Dmitriy Pastushenkov — Dmitriy Pastushenkov is a passionate AI PC Evangelist at Intel Germany  with more than 20 years of comprehensive and int
  • Cloud? No Thanks! I’m Gonna Run GenAI on My AI PC source
• Lev Konstantinovskiy — Lev Konstantinovskiy is the Head of Engineering at a Berlin start-up Synthflow that specialises in AI voice agents. Long
  • Building Professional Voice AI with Vocode source
• Daryna Dementieva — Hi, I'm Daryna 👋🇺🇦 I am a postdoctoral researcher at Social Computing Research Group in Technical University of Muni
  • How to Do Monolingual, Multilingual, and Cross-lingual Text Classification in April, 2024 source
• Nicolas Guenon des Mesnards — Nicolas is a Sr. ML Engineer at GitGuardian where he develops NLP-based technologies to detect vulnerabilities in code a
  • Would you rely on ChatGPT to dial 911? A talk on balancing determinism and probabilism in production machine learning systems source
• Florian Jetter
  • Pandas + Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars source
• Patrick Hoefler — Patrick Hoefler is a member of the pandas core team and a Dask maintainer. He is currently working at Coiled where he fo
  • Pandas + Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars source
• Gunar Maiwald — Gunar Maiwald has a background in Computer Science. For the last 4 years he worked as an ML engineer at idealo.de. His p
  • The key to reliability - Testing in the field of ML-Ops source
• Tobias Senst — Tobias Senst is a Senior Machine Learning Engineer at idealo internet GmbH. Tobias Senst received his PhD in 2019 from t
  • The key to reliability - Testing in the field of ML-Ops source
• Olamilekan Wahab — I'm an Engineering Manager in the Machine Learning Platform team in Zalando where I build tools to make it easier for ML
  • The evolution of Feature Stores source
• Martin Hoermann — Working for over 25 years for ORDIX AG as consultant in topics databases and programming. Focused on programming python
  • Encoding Charactersets - may the force be with you source
• Rosa Marie Keller — Rosa works as a Data Scientist at the German Federal Ministry for Family Affairs, Senior Citizens, Women and Youth, wher
  • (Un)leashed potential of AI in Government source
• Jean Machado — Jean Carlo Machado is a Brazilian DataScience Manager at GetYourGuide for the Growth Data Products team and the Machine
  • DDataflow: An open-source end-to-end testing framework for ML pipelines source
• Emma Haley — Half colombian, half spanish half german data person with particular interest in natural languages. Translator & Compute
  • From LLM as oracle to LLM as translator - our journey from theory to everyday’s practice in a corporate setting with dmGPT (and python) source
• Niklas Lederer — I'm a data person with a focus on machine learning and data science but also business background. Working for a few year
  • From LLM as oracle to LLM as translator - our journey from theory to everyday’s practice in a corporate setting with dmGPT (and python) source
• John Robert — John Robert is a Senior Machine Learning Engineer at Condo GMBH, boasting five years of expertise in machine learning. T
  • Safeguarding Privacy and Mitigating Vulnerabilities: Navigating Security Challenges in Generative AI source
• Daniel Klitzke — I'm a seasoned AI professional with an additional background in software engineering and web development. Having partici
  • Breaking AI Boundaries: Fairness Metrics in Unstructured Data Domains source
• Oliver Schacht — I am a PhD candidate at the University of Hamburg, passionately researching within the field of Causal Machine Learning.
  • Using ML to find out the "Why"? A Tutorial in Causal Machine Learning source
• Jan Teichert-Kluge — My name is Jan and I work as a research associate at the University of Hamburg, where I am studying for my PhD in statis
  • Using ML to find out the "Why"? A Tutorial in Causal Machine Learning source
• Stefan Ulbrich — I am a researcher and programmer with a passion for geometrical methods especially folding and unfolding in machine lear
  • Performant, scientific computation in Python and Rust source
• Valerio Maggio — Valerio Maggio is a Researcher, and Education Lead at Open Mined. He is well versed in open science
  • Boost your Data Science skills with the new Python in Excel source
• Ricardo Baeza-Yates — Ricardo Baeza-Yates is Director of Research at the Institute for Experiential AI of Northeastern University. He is also
  • Keynote - Ten Key Questions that a Company Should Ask to have Responsible AI source
• Dishant Sethi — Dishant is software engineer who is equipped with the experience in Web Development, Cloud Engineering, DevOps and MLOps
  • I achieved peak performance in python, here's how ... source
• Robert Luce — Dr. Luce is an experienced researcher in applied mathematics, and author of numerous publications in the fields of numer
  • Prescriptive Analytics in the Python Ecosystem with Gurobi source
• Jamie Coombes — I'm a Machine Learning Engineer with 3 years of Python and PyTorch development experience. I've provided ML expertise to
  • Mojo 🔥 - Is it Python's faster cousin or just hype? source
• Julian Wagenschütz — I am a simulation engineer developing sustainable battery system platforms at Volkswagen. I have been working on battery
  • There is a Better Way to Automate and Manage Your (Fluid) Simulations source
• Tim Elfrink — Tim is a Staff Machine Learning Engineer at Stepstone. He is working on the deployment of various machine learning proje
  • Beyond Deployment: Exploring Machine Learning Inference Architectures and Patterns source
• Michael Panchenko — Mischa is a researcher with background in physics and mathematics who decided to change course and go into AI (for the s
  • Reinforcement Learning: Bridging The Gap Between Research and Applications source
• Robert Meyer — Robert Meyer is a Data Scientist and Neuroscience researcher by training. He completed his PhD at TU Berlin and simulate
  • Climate Crisis in Numbers source
  • Lessons learned from deploying Machine Learning in an old-fashioned heavy industry source
• Andrei Chernov — Career:
  • FlixBus CitySnap: How we use GenAI and not only to collect captivating images for cities and confirm their locations source
• Lisa Reiber — Lisa works as a data engineer at the in-house data lab of the German Federal Ministry for Family Affairs, Senior Citizen
  • Public Money, Public Experiment - open source processes in the public administration source
• Bilge Yücel — Bilge is a Developer Advocate at deepset, working with Haystack, an open source LLM framework. With over two years of ex
  • Improve LLM-based Applications with Fallback Mechanisms source
• Marc Palyart — Marc Palyart is the Head of Data Science at Malt, the freelancer marketplace, where he leads the search and matching tea
  • Is GenAI All You Need to Classify Text? Some Learnings from the Trenches source
• Kateryna Budzyak — Kateryna is Data Scientist at Malt, the freelancer marketplace, where she works in the search and matching team. She has
  • Is GenAI All You Need to Classify Text? Some Learnings from the Trenches source
• Lisa Andreevna Chalaguine — Meet Lisa, a dynamic force at the intersection of computer science, education, and global exploration. Armed with a Ph.D
  • Can ChatGPT convince you to get a COVID19 vaccine? Comparing ChatGPT to an expert system - which one is more convincing? source
• Anuun Chinbat — Writer by choice and a data enthusiast at heart. Crafting compelling narratives with Open Source Software at dltHub. Wit
  • The Struggles We Skipped: Data Engineering for the TikTok Generation source
• Hiba Jamal — The data field has been my home for 3 years. I'm now a Data Science Working Student at dltHub in Berlin. Previously, I c
  • The Struggles We Skipped: Data Engineering for the TikTok Generation source
• Darina Goldin — Dr. Darina Goldin has a Ph.D. in Control Science, but secretly wishes she had pursued a degree in pure math instead. Eit
  • Lose your fear of equations! source
• Joris Van den Bossche — I am a core contributor to pandas and Apache Arrow, and a maintainer of GeoPandas. I did a PhD at Ghent University and V
  • A deep dive into the Arrow Columnar format with pyarrow and nanoarrow source
• Raúl Cumplido Domínguez — I started working with Python in 2008 with Python 2.5 and since then it became my language of choice. I have been involv
  • A deep dive into the Arrow Columnar format with pyarrow and nanoarrow source
• Alenka Frim — My software development journey started with open source and Apache Arrow project. More specifically, I started with con
  • A deep dive into the Arrow Columnar format with pyarrow and nanoarrow source

Questions about PyCon DE & PyData Berlin 2024

Who spoke at PyCon DE & PyData Berlin 2024?

81 speakers we hold a record for, listed below with the session each one gave. The list comes from the conference's own published agenda, so it is who actually appeared rather than who applied or who paid.

When and where was PyCon DE & PyData Berlin 2024?

April 2024, in Berlin, run by Python Software Verband e.V. & NumFOCUS. The agenda it was taken from is linked at the top of this page.

Are the talk titles real?

82 of the 82 records carry the session title exactly as the agenda printed it, so every one below is quoted.

Can I contact these speakers?

Not through us. We hold no contact details and no fees. Each entry links to the agenda page it came from, and that is the route.