🎓 MSc in Artificial Intelligence and Machine Learning @ Imperial College London
🧠 Former Engineering sudent @ CentraleSupélec | 🇫🇷🇬🇧 Dual Academic Background
🔬 Passionate about AI for Scientific Discovery | 🧪 Weather, Bio, Medicine
I'm a machine learning engineer with a strong scientific mindset, currently working on AI-driven platforms in bioinformatics and climate modeling. I thrive in fast-paced, research-driven environments where I can apply cutting-edge techniques to solve real-world problems.
My experience spans:
- Probabilistic and deterministic models for weather forecasting (MSc Thesis)
- Real-time ML-powered systems (e.g. AKI prediction and CS2 analytics)
- Software engineering best practices: CI/CD, containerization, modular APIs
- Full-stack prototyping of ML-driven platforms from backend to UI
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🔭 I’m currently working on my Masters' thesis on probabilistic ML for Weather prediction
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🌱 I’m currently learning Rust
- WeatherBench2 Forecasting: Benchmarked generative vs deterministic models for field forecasting under noise and sparsity constraints.
- Bio ML Platform: Built workflow engine to launch biology FMs, track execution, visualize embeddings (Next.js + FastAPI + Celery).
- CS2 Broadcasting Platform: ML models for POV selection and win probability prediction, API in Rust + Electron UI.
- AKI Prediction System: Built and deployed an end-to-end ML pipeline with alerting and patient history handling.
- 🇫🇷 French — Native
- 🇬🇧 English — C2
- 🇪🇸 Spanish — C1
- 💬 Always happy to talk about AI, science, startups, and football
⭐️ If you're working on ML for science or high-impact domains, feel free to reach out!