I build things, then I run them.
Nearly five years across blockchain consulting in Paris, QA engineering in Singapore and applied AI. Now I build LLM products solo, and run them on hardware I maintain myself, with agents doing the operations behind my review.
The through-line is not a stack. It is finishing: getting something past review, past first launch, past the week where it breaks, and then keeping it alive long enough to learn what it actually costs.
Career
- 2026 to now
Independent
AI systems and infrastructure
Running real products without a team
- 2024 to 2026
iLex
QA Engineer
Fintech · interbank loan management · 15-person team
- 2022 to 2023
BearingPoint
Blockchain IT Consultant
Blockchain task force for public institutions and private clients
- 2020 to 2021
Plebicom
Software Engineering Intern
Paris
- 2017 to 2022
EPITA
MSc Computer Engineering
France
Skills
- AI systems
- Agent orchestration, tool and permission design, LLM evaluation (labelled reference sets, Cohen's kappa, recall), model cascades, RAG, MCP, Anthropic API, local LLMs (Ollama, Qwen)
- Languages
- TypeScript, Python, Swift, Solidity, C/C++, Java
- Product stack
- React, React Native, Expo, SwiftUI, Next.js, Node.js, Express, Supabase, PostgreSQL, SQLite, MinIO
- Infra & QA
- Proxmox, Docker, Traefik, Cloudflare Tunnel, Tailscale, ZFS, GitHub Actions, Karate, API test automation, fuzz testing
- Blockchain
- Solidity (EVM, ERC721/1155/4337), Solana (web3.js, Anchor, Jito), XMTP
- Soft skills
- Teaching and training (700+ people trained), client delivery to public institutions, end-to-end ownership without a team, written operating procedures
No proficiency bars. A percentage next to a language name is a number somebody made up about themselves. The projects are the evidence.