Publications
Hi! I sometimes publish stuff: talks, blogposts or research. Here's a list 🤗.
Talks
📢 These are talks I held at tech conferences:
- How to create a Devcontainer for your Python project 🐳
@ GoDataFest 2022, 26th of October, Amsterdam
@ PyData Eindhoven 2022, 12th of December, Eindhoven
[🎬 YouTube] - Dataset enrichment using LLM’s ✨
@ DataMass 2023, 5th of October, Gdańsk - Poland
@ GoDataFest 2023, 24th of October, Amsterdam
@ PyData Eindhoven 2023, 30th of November, Eindhoven
[🎬 YouTube] - Are you ready for MLOps? 🫵
@ PyCon SK 2024, 16th of March, Bratislava, Slovakia
[🎬 YouTube]
@ PyData London 2024, 16th of June, London
[🎬 YouTube]
@ Eindhoven Data Community meetup, 29th of August 2024, Eindhoven - From Prototype to Production: A Practical Guide to LLMOps Platforms for RAG Applications on Azure
@ AI Community Day 2024, 14th of May, Utrecht - How Klaverblad Insurance is enhancing its claim handling using GenAI
@ Data Expo 2024, 11th of September, Utrecht - The Levels of RAG 🦜
@ PyData Eindhoven 2024, 11th of July, Eindhoven
[🎬 YouTube]
Blogposts
- DropBlox: Coding Challenge at PyCon DE & PyData Berlin 2022
27th of July 2022, xebia.com - How to create a Devcontainer for your Python project 🐳
21st of November 2022, xebia.com - Scaling up: bringing your Azure Devops CI/CD setup to the next level 🚀
8th of December 2023, xebia.com - Dataset enrichment using LLM's ✨
28th of December 2023, xebia.com - RAG on GCP: production-ready GenAI on Google Cloud Platform
26th of March 2024, xebia.com - The Levels of RAG
26th of July 2024, xebia.com
Research
📚 Academic articles that are accessible online.
- fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms
– Jeroen G. S. Overschie, Ahmad Alsahaf and George Azzopardi
Published in the Journal of Open Source Software on 23rd of November, 2022
[code] [pdf] [journal] - A novel evaluation methodology for supervised Feature Ranking algorithms
– Jeroen G. S. Overschie
Master's thesis, published 9th of July 2022
[code] [pdf] [arxiv] - A fusion between a deep-learning and a filter-based approach for road marker detection
– Jeroen G. S. Overschie
Bachelor's thesis, published August 2019
[code] [pdf]
Other
- Machine Learning Engineer - Working at GoDataDriven
[🎬 YouTube]