AI engineerGeneva / Lausanne, Switzerland00:00:00
GenAI engineer at Orange Business. I build RAG systems, multi-agent workflows and LLM infrastructure that run in production, and I ship my own products on the side.
Open to AI engineer, forward-deployed and solutions roles
Ship log
73,000+
fan interactions in 2 weeks, 71.5% completion rate
73,000+ fan interactions in 2 weeks, 71.5% completion rate, 5 languages. Led the official GPT-4 chatbot for the 2023 FIBA Basketball World Cup end to end, from PoC to a 4-month launch on Facebook Messenger and web.
GPT-4 · Real-time API · Facebook Messenger · Web Widget · Multilingual (5 languages) · Project Management
In production
at Orange Business, for product and sales teams
RAG cloud-intelligence chatbot in production at Orange Business. Local multi-LLM integration (Llama 3.3 70B, DeepSeek R1, QwQ 32B) via vLLM on H100 NVL and L40S GPUs, LangChain + ChromaDB orchestration. Built for auditable answers, not for the demo.
LangChain · ChromaDB · vLLM · H100 NVL · Llama 3.3 70B · DeepSeek R1
Paying users
live at jobswiper.ai, built solo
Live at jobswiper.ai with paying customers, built solo. AI-powered job-search SaaS: a match-scoring engine (vector embeddings + LLM reranking), a Canva-style CV editor, a real-time interview simulator, and a Chrome extension for 18+ job boards and ATS systems.
Next.js 16 · React 19 · TypeScript · Tailwind CSS · shadcn/ui · Supabase
20 PRs
merged into apache/airflow, through an agent pipeline
20 pull requests merged into apache/airflow (38,000+ stars), out of 42 submitted, through an autonomous agent pipeline I built to run the contribution cycle. Sharp bugfixes: scheduler, task-sdk, providers (Google, Oracle, Alibaba, SMTP, FAB), database migrations, including 2 security fixes.
Python · Apache Airflow · Autonomous agents · Claude Code · Open Source · pytest
1.27B
parameters, trained from scratch to understand
A 1.27 billion parameter language model trained from scratch, just to understand how they work inside. LLaMA-style decoder-only (24 layers, GQA, SwiGLU, RoPE), trained in JAX/Flax NNX on 2 L40S GPUs. Checkpoints published on Hugging Face, with HF, GGUF and MLX exports.
JAX · Flax NNX · Python · LoRA · SlimPajama · Hugging Face
I was hired at Orange to do marketing. I taught myself to build, and turned my own role into an AI engineering one: nobody handed it to me. Now I build production GenAI by day and my own products at night. I care about one thing most: making AI you can actually trust, not AI that just looks good in a demo. I finish my Master's at Epitech in 2026. Until then, I let the work do the talking.
Idea to production, alone if I have to. Frontend, backend, infra, payments: I hold the whole chain.
"It feels good in the demo" is not a number you can ship on. I test my outputs against real cases.
The Epitech piscine every year. I even trained a small language model from scratch, just to understand how they work inside.
RAG workshops for PMs, mentoring interns, reusable patterns. What I build should be useful beyond me.
09/2024 - Present
Lyon, France
Design and deployment of AI tools within the Cloud Avenue product team. End-to-end development of « Karl », a RAG chatbot for strategic cloud intelligence: ChromaDB orchestration, multi-LLM integration (Llama 3.3 70B, DeepSeek R1, QwQ 32B) running locally on H100 NVL and L40S GPUs via vLLM. Automated AI newsletter pipeline (93+ weekly editions). Real-time competitive benchmarking platform covering 8+ cloud providers across 3 product ranges, results presented to COMEX. Benchmarked 6+ LLM models across 3 GPU tiers (H100 NVL, L40S, L4). Led RAG workshops for product managers (n8n + Ollama + ChromaDB), onboarded 2 interns on agentic AI projects.
01/2023 - 06/2023
Mies, Switzerland
Pioneering generative AI project (from January 2023, just 2 months after ChatGPT's launch): end-to-end management of a GPT-4 chatbot for the FIBA Basketball World Cup 2023. Solution benchmarking (RFI), PoC, negotiation and contracting with BotsCrew. Coordinated a 2-3 person team + vendor, delivered in 4 months. Localization in 5 languages (EN, JP, ID, FR, ES), deployed on Facebook Messenger and web widget. 73,000+ fan interactions in 2 weeks, 71.51% conversation completion rate. Created analytical dashboards (BI) via GA4 and BigQuery (GCP). UI/UX improvements and digital marketing participation.
2018
Geneva, Switzerland
Summer internship at the Cantonal Social Insurance Office of Geneva.
Open to AI engineer, forward-deployed and solutions roles
Based : Geneva / Lausanne, Switzerland
Languages : French (native), English (C1), Spanish (B1)