hassan lakhal
@hassanlakhal
I build AI-powered platforms, RAG systems, and production-ready full-stack applications.
What I'm looking for
I've led technical strategy at Michess Lab across AI Chess Mentor Pro and an intelligent chess ecosystem, building hybrid-retrieval RAG coaching, edge AI board vision, and behavioral-cloning bots.
At UM6P DSI, I built an AI-powered IT support platform with FastAPI and React, including an asynchronous OCR pipeline that digitized two years of PDF archives and a LangChain/Qdrant chatbot for context-aware support. I also build systems from first principles, including a high-performance C++ HTTP server supporting 500+ simultaneous connections and reinforcement-learning agents in Python.
Experience
Work history, roles, and key accomplishments
Lead Technical Director
Michess Lab
Sep 2025 - Present (11 months)
Led technical strategy across 2 concurrent ML projects, mentoring 2 intern cohorts through the full lifecycle from data preparation to production deployment. Architected AI Chess Mentor Pro and directed Intelligent Chess Ecosystem.
Software Developer Intern
UM6P DSI
Jun 2025 - Dec 2025 (6 months)
Engineered a full-stack AI-powered IT support platform (FastAPI + React), replacing a manual 2-year paper archive process. Built a custom async OCR pipeline and architected a RAG chatbot for context-aware support.
Education
Degrees, certifications, and relevant coursework
1337 Coding School (UM6P)
Bachelor of Science, Software Engineering
2022 -
Grade: 16.48/21
Pursuing a Software Engineering degree with a project-based, peer-evaluated curriculum covering C/C++, algorithms, systems architecture, Unix programming, Artificial Intelligence, and MLOps.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/hassanlakhalJob categories
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