Rabah Khalek
Senior ML Engineer at Terrapin
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolRabah Khalek is a Senior ML Engineer based in Paris with eight years of experience bridging cutting-edge machine learning research and production-grade systems. With a PhD in theoretical particle physics, he has translated deep-domain expertise into practical ML tooling—leading development of Giskard’s LLM and CV evaluation libraries and building MLflow-backed model infrastructure. He designs retrieval-augmented agents and data-extraction pipelines for finance at Terrapin and has a track record of shipping vulnerability detectors, prompt-injection defenses, and unit tests for TensorFlow/H2O models in open-source projects. His academic work produced widely cited results and public C++/TensorFlow libraries for neural-network analysis, reflecting a rare combination of advanced math, low-level performance engineering, and model auditing. Colleagues describe him as a hands-on leader who moves quickly from research ideas to auditable, production-ready ML systems.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Elementary Particle Physics, cum laude, Doctor of Philosophy - PhD, Elementary Particle Physics, cum laude at Vrije Universiteit Amsterdam (VU Amsterdam)Master's degree, Elementary Particle Physics, Master's degree, Elementary Particle Physics at Paris-Sud University (Paris XI)
English, Arabic, French
Github Skills (8)
mlops10
tensorflow10
python10
pytest9
h2o9
docker8
pandas8
dockers8
Programming languages (8)
Github contributions (5)
Giskard-AI/giskard-oss
Oct 2022 - Jan 2023
🐢 Open-Source Evaluation & Testing library for LLM Agents
Role in this project:
ML Engineer & Test Automation Engineer
ML Engineer & Test Automation EngineerContributions:327 reviews, 72 commits, 187 PRs in 3 months
Contributions summary:Rabah contributed to the project by reducing the size of uploaded datasets and merging code from the main branch into disparate impact. They also worked on unit tests for TensorFlow and H2O models. Specifically, the user updated the test files to ensure the AI and LLM systems are being tested effectively.
llmtesting-librarymlopsml-validationml-testing
Giskard-AI/giskard-examples
Oct 2022 - Oct 2023
Giskard demo notebooks 🧑🏽🏫
Contributions:9 reviews, 16 PRs, 78 pushes in 1 year
pythondata-sciencejupyter-notebooknotebooksjupyter
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