Mohamed Arbi Nsibi
Machine Learning Engineer & ICT Engineering Graduate
Mohamed Arbi Nsibi also known online as Goodnight is a Machine Learning Engineer and a Qdrant Star, recognized for his leadership and contributions to the vector search community. He is passionate about Natural Language Processing and Generative AI, building innovative solutions that bridge the gap between cutting-edge research and practical applications.
His work focuses on RAG systems, MLOps, and automated AI solutions, with projects ranging from hydrogen cost forecasting to intelligent document processing agents. He is always exploring new ways to apply machine learning to solve real-world problems. He graduated from SUP'COM (Higher School of Communication of Tunis).
- ⭐ 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 tool for exporting Qdrant metrics supporting observability and migration workflows.
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 February 1, 2026, I served as a judge at the Vectors in Orbit hackathon, evaluating 12 teams with two fellow team leads representing YellowSys and InstaDeep.
- On January 18, 2026, co-led the Vectors in Orbit community event alongside FST and GDG SUP'COM, helping shape its focus on vector databases and modern AI applications.
- 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].