AI Platform / Applied AI Engineer · Paris, France
I build AI tools and enjoy understanding what happens underneath: how a process runs, how an agent uses a tool, and what happens when something fails. My foundations are Python, C and Linux, shaped by projects at École 42 Paris.
I like learning with other people, whether we're trying an idea at a hackathon, organising a developer event or working through a difficult problem together. My projects have taken me from UNIX shells to voice journals and first-aid training.
droit-de-retard — A local-first prototype that prepares flight-compensation claims from travel documents. Continuing a team hackathon project, I added deterministic tool-call validation, regression tests and CI checks, with Python handling the rules and calculations.
Diary — A voice-journal prototype and my personal continuation of Kura, a team project developed across two hackathons. I connected browser recordings to audio conversion, cloud storage and weekly reports, with explicit opt-in for analysis.
Minishell — A shell written in C as part of the 42 curriculum. I worked on command execution, pipes, redirections and process handling using UNIX system calls.
I co-organise GDG on Campus 42 Paris and have spent 3+ years leading and coaching at Fitness 42. I'm also involved in CITOY.ENS, a conferences and debates association, where I've attended talks and suggested speakers.
I contributed as a volunteer to the AI layer and problem framing of a French Red Cross training project. Professionally, I'm completing an AI platform internship at BPCE, following a Data Scientist internship at BNP Paribas.
I'm looking for a permanent role in applied AI or AI platforms after my internship ends on 16 October 2026. Happy to talk about a project, an opportunity or something you're building.
French native; English fluent; Spanish B1.
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