Data Engineering & AI Agents
Professional vibe coder from the fresh new wave — building data pipelines, AI agents, and production products at Nokia and webgen. This is the story of how I got here — one scroll at a time.
One evening, my dad came home carrying a big box — our first real computer. I was eight. Someone showed me Minecraft, and that was it: I spent hours building worlds block by block, wondering how a machine could hold entire universes inside. I didn't have the words for it yet, but I had just fallen in love with computers.
Playing was no longer enough — I wanted to make the machine obey. Redstone contraptions became little scripts, scripts became projects. I visited the IoT Valley startups in Toulouse to poke at connected objects, then walked into Nokia Paris-Saclay for a discovery internship. I remember thinking: one day, I'll work in a place like this.
In high school I chose STI2D, option SIN at Lycée Parc de Vilgenis in Massy — the path of electronics and code. Soldering irons, logic gates, embedded systems: little by little, playing turned into building, and building turned into engineering. Baccalauréat in hand, I knew exactly where I was heading.
At ECE Paris I dove into data and artificial intelligence. With my team, I built an intent-based travel planner powered by Gemini — it was elected best Bachelor project of the school. Somewhere between the pipelines and the demos, 'coding' quietly became 'shipping'.
A six-month internship became a full apprenticeship — and the chapter where everything accelerated. I built and shipped a FastAPI + React platform that analyzes features end-to-end, weaving seven data sources into one real-time dashboard, and automated workflows entire teams rely on daily. Then I led the adoption of Cursor: a knowledge portal, a RAG assistant, demos team after team. The intern had become the person teams call to move faster with AI.
Meanwhile, with Noam and Charles, webgen became our studio — made in France, built around Web-Gen, our intent-to-website generator. We shipped Express Divorce USA into production, built CallKitchen, released the Two app, and launched tools like PromptOptim in the open. Three friends, real clients, real code.
Next comes the M.Sc. Data Engineering & AI at EFREI Paris — RNCP level 7, built around data architecture, structural AI, and cloud governance. I'm actively looking for a two-year work-study company (2026–2028) where pipelines, agents, and production craft meet. Meanwhile, webgen keeps shipping real products with Noam and Charles. The eight-year-old in front of the Minecraft screen is still here. He just ships to production now.
I ship through AI-native engineering — Cursor, Claude, MCP skills — across data pipelines, agents, and interfaces people actually use.
Public projects that show the kind of web and app experiences we can design, build, and launch.
Web-Gen is the flagship — an intent-to-website generator. Alongside it, we build open AI tools around digital sobriety, project planning, and developer workflows.
Internal platforms and award-winning school projects built inside Nokia and at ECE Paris.
Centralized platform analyzing features end-to-end: 7+ heterogeneous sources aggregated through an automated collect → analyze → correlate → report pipeline, replacing scattered manual analyses with real-time insights.
Intent-based travel planning app powered by Gemini and SaaS APIs: day-by-day tailor-made trips generated from what travelers actually want. Elected best Bachelor project at ECE Paris.
Internal portal accelerating Cursor adoption: centralized knowledge, a RAG-powered AI assistant, a collaborative forum — plus demos and hands-on onboarding across multiple teams.
Starting September 2026: M.Sc. Data Engineering & AI at EFREI Paris — data infrastructure, structural AI, and cloud governance (RNCP level 7). Apprenticeship is my priority for 2026–2028. I'm also open to freelance missions through webgen or on Fiverr.
