Mohamed Arbi Nsibi
Machine Learning Engineer & ICT Engineering Graduate
Hey, I'm Mohamed Arbi an aspiring Machine Learning Engineer with experience in AI-powered systems and model development. I'm passionate about Natural Language Processing and Generative AI, building innovative solutions that bridge the gap between cutting-edge research and practical applications.
I'm interested in RAG systems, MLOps, and building automated AI solutions. I've worked on projects ranging from hydrogen cost forecasting to intelligent document processing agents, and I'm always exploring new ways to apply machine learning to solve real-world problems.
- 🏆 First Prize – Deep Learning INDABAX Tunisia (IEEE SUP'COM & InstaDeep, 2025)
- 🏆 First Prize – EY AI 4 New Generation Hackathon (2025)
- 🏆 First Prize – IEEE TSYP CS Challenge (2023)
- ⭐ Qdrant Star – Community leadership in vector search technology (2025)
If you want to get in touch, connect with me on LinkedIn or send an email to
mohammedarbinsibi at gmail dot com
A collection of RAG tutorials where I share what I learned in my own way.
A curated list of awesome community resources and examples of Qdrant in the AI ecosystem.
All materials from my workshops at previous events and bootcamps.
Medical chatbot integrating RAG with knowledge graphs to answer health-related queries and provide accurate recommendations.
Multi-model forecasting pipeline for Levelized Cost of Hydrogen with automated certification document processing.
Automated system for resume analysis, generating detailed reports with matching scores and ranking candidates.