I am very insterested in Reinforcement Learning and GPU optimization You can check my paper and projects on Linkedin / sending my an email.
- AI & Research: ML/DL, Reinforcement Learning, GPU Optimization and LLMs
- Data Science: ML, Statistical modeling and Probability
- R-Seatch: Auto-Research Agent as a VSCode extension, completely modular and created for practicality for the Iterate Research Hackathon 2026.
- LUX AI s3 Kaggle Competition: Competition of Multi-agent RL about a complexe board game using PPO and a bunch of A100 for training.
- MuJoCo: Trained a quadripede to walk on a ThinStation PGX (Blackwell NVIDIA GB10) with a PPO
- Chat-Sillage: Project Lead. Architecting a secure, medical-grade chatbot. Focus on RAG (Retrieval-Augmented Generation) and data privacy.
- RL Urban transportation resilience: Research at LICIT-ECO7 Laboratory about a RL framework for urban transportation resilience versus passenger outburst.
- First Unpublished Research Paper : “Benchmarking Performance Optimizations Across Diverse Deep Learning Tasks” redacted in Yamada-Lab at Tohoku University, Japan.
- Languages: Python, Web2 (SQL, TS, Laravel, React), C/C++, Web3 (Hardhat, Solidity)
- AI stack: PyTorch, Tensorflow, JAX (intermediate), Langchain, Gymnasium, ISAAC.
- Tools: Linux, Docker, Git, CUDA, Terraform, MongoDB, PostGresSQL, SQLite
- GitLab: Gitlab (for financial projects)
- Email: alexandre.martel2201@gmail.com
- Linkedin: https://www.linkedin.com/in/alexandre-martel-/