Team
EPIwin
Project Concept
Team of three EPITA CS students: one specializing in PyTorch and world models, one skilled in C/C++ and MLOps pipelines, and one with expertise in ML engineering and AI systems.
Entry
Status: Not Started
Team Roster
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RYAD gazenay Team Lead RSVP Approved
Student at EPITA
EPITA CS student (SCIA major) specializing in ML engineering. Currently working on world models and self-supervised learning. Background in data engineering with 6 months at Padoa building production Airflow pipelines. I build things end-to-end from architecture to deployment.
AI, new tech, optimization, building things that work in production. Curious about where LLMs and agentic systems are heading next
World-Models-Explorer: from-scratch RSSM implementation in PyTorch for model-based RL. MiniRAG: minimal RAG pipeline without abstraction layers (FAISS + local embeddings). Data pipeline at Padoa: Airflow DAGs with automation including OAuth2/MFA reverse-engineering.
Mehdi AZOUZ RSVP Approved
student at EPITA
4th-year AI/ML student at EPITA (SCIA). Passionate about building intelligent systems at the intersection of NLP, computer vision, and agentic AI. I enjoy turning research into working products - from multi-agent simulations to autonomous coding pipelines. Always tinkering with new tools, always shipping.
Agentic AI systems, world models, LLM application development, AI safety basics, developer tooling, and the intersection of ML research and product engineering. Open to connecting with researchers, builders, and anyone working on ambitious AI applications.
Building autonomous agent systems including a personal health agent that pulls Garmin data daily and delivers contextual recovery insights. Also exploring world models and constraint programming for AI research coursework.
Hani Bouzida RSVP Approved
Student at Epita
Engineering student at EPITA (AI & Machine Learning major), based in Paris. Passionate about building intelligent systems — from computer vision and NLP to distributed microservices and quantitative finance. I enjoy working at the intersection of theory and production-grade engineering, whether that’s training models or shipping scalable backend infrastructure.
I’m looking for new opportunities to collaborate
Also working on big data pipelines (Kafka, Flink, Spark) and NLP experiments including n-gram language models. Past projects include an LLM-based book summary & cover generation tool.