Data Science Engineering Student
Anas Meftah
Machine Learning & AI — ML pipelines, LLM/RAG systems, and ML monitoring — with research interests in robust AI and neural network verification.
I'm a Data Science engineering student at the Faculty of Sciences of Tunis (expected 2028). I build end-to-end machine learning systems — from data pipelines and drift detection to RAG-based LLM applications — with a focus on rigor, reliability, and clean engineering.
About
Background
I'm currently pursuing a National Engineering Diploma in Data Science at the Faculty of Sciences of Tunis (Université de Tunis El Manar), after completing an integrated preparatory cycle in engineering and a Mathematics Baccalaureate with highest honors.
My work so far centers on practical machine learning engineering: I've built a feature drift detection system using Kolmogorov–Smirnov tests over production data streams, an MCP server that connects PDFs to LLMs through a RAG pipeline, and a from-scratch reproduction of the Vision Transformer paper in PyTorch. As an R&D member of the Securinets cybersecurity club, I've applied ML to network intrusion detection on the NSL-KDD dataset.
My engineering philosophy is that machine learning systems should be as trustworthy as they are capable. That conviction drives my research interests: robustness, formal verification of neural networks, and building AI systems whose behavior can be analyzed and guaranteed rather than merely observed.
- Arabic
- Native
- English
- Professional
- French
- Advanced
Research
Research Interests
Directions I'm actively studying and building toward — from robust ML systems to formal guarantees for neural networks.
Projects
Selected Work
End-to-end ML systems: monitoring pipelines, retrieval-augmented LLM applications, and paper reproductions.
Skills
Technical Toolkit
The languages, frameworks, and tooling I work with day to day.
Open Source
On GitHub
A selection of public repositories — learning journeys, experiments, and coursework.
Let's work together
Open to internships, research collaborations, and interesting ML engineering problems. Based in Tunis, Tunisia.