AI · Medical Imaging · NLP · Paris

Naoufel
Azizi

M2 MIND student at Sorbonne Université. Research intern at LIP6, building deep learning systems for colonoscopy AI. I work at the intersection of machine learning, computer vision, and human health.

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Researcher & Engineer

I'm a final-year Master's student in Machine Intelligence & NLP Data (MIND) at Sorbonne Université, Paris, with a background in CPGE mathematics and computer science from Algeria.

My research at LIP6 focuses on medical image analysis — developing deep learning pipelines for colonoscopy video interpretation, supervised by Garance Lucas under Bertrand Granado. I care about AI that is precise, interpretable, and genuinely useful.

Beyond research, I build software — from CakePHP web applications to Flutter mobile apps and containerised deployments on cloud infrastructure. I like elegant solutions to hard problems, whatever the stack.

Naoufel Azizi
3
Languages spoken — French, English, Arabic
10+
Technologies in active use
2026
Graduating from Sorbonne Université
Paris
Based — open to new opportunities

Experience & Education

2026 · PARIS
Research Intern — Medical Image Analysis
LIP6 / Sorbonne Université
Developing deep learning pipelines for colonoscopy video analysis, focusing on polyp detection and segmentation. Supervised by Garance Lucas (doctoral researcher) with Bertrand Granado as academic tutor and Hubert Naacke as referent.
PyTorch OpenCV Computer Vision Medical Imaging Python
2025–2026 · PARIS
Software Developer
Diese Telecom
Full-stack development on "logidiese", a residential management CakePHP application. Redesigned multiple UI views with a modern dashboard aesthetic, added SAV status tracking, fixed longstanding display bugs, and containerised the entire stack on Azure with Docker Compose.
CakePHP PHP MySQL Docker Azure
2024–2026 · PARIS
M2 MIND — Machine Intelligence & NLP Data
Sorbonne Université · UFR 919
Advanced coursework in deep learning, natural language processing, information retrieval, and computer vision. Final-year specialisation in medical image analysis research.
NLP Deep Learning Computer Vision HuggingFace
ALGERIA
CPGE — Mathematics & Computer Science
Classes Préparatoires aux Grandes Écoles
Intensive preparatory program in mathematics, physics, and computer science — building the analytical foundation for advanced machine learning and AI research.
Mathematics Algorithms CS Fundamentals

Selected Projects

📊
Query Variation Generators
NLP evaluation framework measuring IR system robustness under natural query reformulations. Key finding: ~−20% retrieval performance loss under variation on the ANTIQUE dataset — exposing fragility in standard information retrieval benchmarks.
LLM Inference on HPC Cluster
Set up a local LLM inference node on a university HPC cluster using vLLM 0.8.5 with Qwen2.5-32B-Instruct (GPTQ Int4). Resolved a chain of non-root environment constraints, proxy issues, and API format bridging between completion backends.

Skills & Technologies

AI / ML

PyTorch
HuggingFace Transformers
scikit-learn
OpenCV
Computer Vision
NLP / IR

Development

Python
PHP / CakePHP
Flutter
React Native
JavaScript
SQL / MySQL

Infrastructure

Docker / Compose
Azure VMs
HPC Clusters
Linux / Bash
Git / GitHub
vLLM

Languages

French — native
Arabic — native
English — fluent

LaTeX
Markdown

Let's talk

I'm looking for opportunities in AI, ML, NLP, or computer vision — research roles, applied positions, or anything at the intersection. Feel free to reach out.