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.
- ⭐ Qdrant Star – Community leadership in vector search technology (2025)
- 🏆 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)
If you want to get in touch, connect with me on LinkedIn, book a meeting, 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.
A complete RAG application for answering questions about Green Hydrogen regulations, compliance requirements, and international standards.
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.
- On December 7, 2025, I was one of the judges in the AI odyssey event organized by GDGoC FST and Dione Protocol.
- On November 22, 2025, I was one of the judges at The ORBYX event at ENSI. On November 22, 2025, I was one of the judges at The ORBYX event at ENSI.
- On November 1st, 2025, I was one of the judges at WiEmpower event organized by IEEE SUP'COM.
- On June 13, 2025, at the (AINS 3.0) Artificial Intelligence National Summit V3, I gave a talk about "Building Smarter RAG Pipelines with Qdrant" organized by INSAT [slides].
- On February 19th, 2025, I gave a workshop on Retrieval-Augmented Generation (RAG) as part of the LLMs & DL Bootcamp by Data Overflow INSAT [slides].