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]

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]