DUT Computer Science
Aix-Marseille Université
Technical computer science training focused on application design, development, and validation, with coursework in programming, web development, databases, networks, and software project work.
About
Computer science background, applied AI focus
I studied computer science before specializing in Artificial Intelligence and Machine Learning during my master’s degree. My work focuses on applied systems that connect models, data, APIs, retrieval workflows, and deployment.
I am especially interested in projects where machine learning has to move beyond isolated experiments and become something testable, usable, and maintainable.
Outside work, I climb regularly and play electric bass.
Education
Academic background
BSc Computer Science
Aix-Marseille Université
General computer science curriculum covering programming, algorithms, data structures, formal languages, databases, systems, software engineering, algorithmic complexity, and the theoretical foundations of computing.
MSc Computer Science — Artificial Intelligence and Machine Learning
Aix-Marseille Université / École Centrale Méditerranée
Specialization in machine learning, deep learning, natural language processing, constraint-based problem solving, knowledge representation and processing, data science, mathematics, and research-oriented AI/ML systems.
Master IAAA presentation
Selected Work
Applied AI work across research, healthcare and deployment
Four selected pieces of work showing different sides of my AI practice: retrieval applications, medical AI problem framing, NLP research, and deployed model demos.
01
Umaguedo Search
Agentic RAG search application for Umamusume characters, combining structured data, semantic retrieval, SQL tools and source-grounded answer generation in a complete, usable web application.
02
Medical AI Internship
Internship project on an AI feasibility study for CyberKnife treatment planning in a hospital context, shaped by a clinical need and constrained medical data. Based on the available stereoscopic medical images, the project led to a computer vision approach, with an end-to-end ML pipeline, model evaluation and a final presentation to project stakeholders.
03
NLP Research Internship
Research internship on French multi-word expression detection for the PARSEME-FR project, an ANR research project focused on improving the representation and processing of multi-word expressions in French NLP. The work compared a dictionary baseline, an AdaBoost tagger and a neural model, with feature engineering, evaluation and a reproducible Python pipeline.
04
Aguemotion Suite
A set of emotion recognition demos across speech, text and facial images, built to compare different input modalities while learning to deploy models through APIs, ONNX export and Hugging Face Spaces.
Contact
Contact and public profiles
You can contact me by email or review my public work through LinkedIn, GitHub and Hugging Face.