😄 I'm a Machine Learning Engineer passionate about ML and software engineering. I am also a musician with a love for sound engineering, and production!
🔭 My research interests are generative models, recommendation systems, reinforcement learning and time-series forecasting.
- At Microsoft Azure, I fine-tuned transformer models for anomaly detection & log summarization, and shipped LLM-driven observability insights with PyTorch on large-scale data pipelines.
- At LANDR Audio, I built AI monitoring tools for fraud detection and developed scalable, real-time ML pipelines on AWS with Python, Docker, and Kubernetes.
- At Amadeus, I applied reinforcement learning and sequence modeling (LSTM, N-BEATS) to optimize dynamic caching for millions of hotel properties around the world.
- At the French National Centre for Scientific Research, I led deep-learning & RL research in digital image steganography, and managed to improved embedding robustness by ~30% against image distortions.
- At Ecole Centrale de Lyon, I taught probability, inference, and statistical learning to 30+ Master’s students.
Feel free to connect!