Karel D'oosterlinck
Member Of Technical Staff at OpenAI
United States
Summary
🤩
Rockstar🎓
Top SchoolKarel D'oosterlinck is an NLP researcher-engineer with five years of experience building and aligning large language models, currently a Member of Technical Staff at OpenAI. He completed PhD work in NLP at Ghent University and held research positions at Stanford and Contextual AI, contributing to papers and novel alignment objectives that address underspecification in model behavior. Karel combines hands-on model training on state-of-the-art clusters with practical system-building—everything from data-efficient semantic parsing in low-data industrial settings to end-to-end RAG optimization. He has a track record of open-source contributions and product-minded research, having also launched a student knowledge-sharing platform and led engineering teams. Colleagues value his mix of rigorous causal-interpretability benchmarking and pragmatic engineering that turns research insights into reproducible code.
5 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science Engineering: Major Artificial Intelligence, Master of Science - MS Computer Science Engineering: Major Artificial Intelligence at Ghent University
Github Skills (30)
transformers10
pytorch10
language-model10
predict10
python10
retrieval10
machine-learning10
codex10
deep-learning10
tensorflow10
bert10
natural-language-processing10
language-modeling10
transformer10
speech-recognition10
Programming languages (2)
Github contributions (5)
KarelDO/awesome-codex
Sep 2021 - Jan 2023
A list dedicated to products, demos and articles related to 🤖 OpenAI's Codex.
Contributions:19 commits, 4 PRs, 16 pushes in 1 year 4 months
nlpcodexdeep-learningdedicatedmachine-learning
KarelDO/BioDEX
Apr 2023 - Jan 2024
Contributions:99 pushes, 2 branches in 9 months
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