- 2026: specializing in Reinforcement Learning (RL). The goal is to become a reference in this niche.
- Career: focused on leveling up skills and building solid RL expertise, rather than chasing organizations.
- Open Source: high-quality contributions, aiming to keep the longest commit streak possible.
- Academic: about to wrap up 42's Core Curriculum (target: September 7, 2026), finishing my Computer Science degree, and aiming for a Master's specialized in RL starting September 2028.
- On the side, my guilty pleasure: becoming the funniest AI Spider-boy in the multiverse.
Languages & Core
AI & Data Science
Tools
| Project | Description | Tech |
|---|---|---|
| RoseBleue | RAG-based chatbot raising awareness about breast and prostate cancer | Python |
| RAG Against the Machine (42 School) | RAG pipeline indexing a large codebase (chunking, TF-IDF/BM25 retrieval) and generating grounded answers, evaluated via recall@k | Python, Pydantic, TF-IDF/BM25, LLM |
| Agent Smith & Call Me Maybe (42 School) | Autonomous coding agent (Thought → Code → Observation loop) executing LLM-generated code in a sandboxed environment via MCP tools, with constrained decoding to guarantee schema-valid JSON | Python, MCP, LLM APIs, JSON Schema |
| Capaci (Data & Web) | Strategic board game with full backend management and database modeling | PHP, Symfony, PostgreSQL |
