🎓 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

• 🔭 I’m currently working on my Masters' thesis on probabilistic ML for Weather prediction

• 🌱 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

• 💼 LinkedIn
• 💬 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!