Why RWA Needs Its Own Chain
General-purpose L1s weren't designed for regulated assets. I'm building something that is. Here's the thinking behind it.

Available now for roles and selected projects (remote or on-site)
AI / Agent Engineer
Ships production multi-agent, RAG, and LLM systems inside complex regulated organizations.
▶ WORLD SELECT · A CAREER, BY LOCATION
Pick a chapter, or play it from the start.
01PARIS · 2009–2019It started in Paris.
02LUXEMBOURG · 2017–2021I co-authored the rail for tokenized securities.
03NICE · 2019A summer building security-token rails.
04ABU DHABI · 2021Multi-ledger security tokens in the desert.
05DUBAI · ASCENT · 2021–2024Lead engineer at real scale.
06DUBAI · CTO · 2024–2026I built the org and readied an L1.
07HOUSTON · 2026Solo, I shipped an 11-agent AI platform.
08FRANCE · NOW · 2026–presentBack in France. Building what's next.On-Chain Volume
Biconomy Nexus
ERC Standards
3 published · 1 in progress
Smart Contracts
Shipped across a decade
Integra Agents
Internal operations
Transactions
Processed on-chain
Tokenized · ERC-3643
Apex Group ($3.5T AUA)
AI agents, technical leadership, and systems that scale.
Production multi-agent systems with RAG, verified citations, evals, model routing and workflow automation. A recent bank-reconciliation workflow went from 8 hours to 23 minutes.
Full CTO function for your team. Architecture, hiring, shipping. I've done this for protocols handling $441M in volume. You get the senior leadership without the full-time cost.
A deep audit of your AI or blockchain systems. Written report with specific fixes, not vague suggestions. Systems I've reviewed handle $441M in on-chain volume.
▸ IN ACTION
This is what the work looks like: one operator, a crew of specialized agents, and pipelines that verify their own output. I shipped an 11-agent GenAI platform to production for a US real-estate PE fund (~$3B AUM), solo, forward-deployed.
Security Tokens
Dual-Layer Tokens
Allowance Management
AI Agent Principals
I write about stuff I've actually built. What worked, what didn't, what I'd do differently. No fluff.
I take 2-3 clients at a time. If you've got a hard technical problem involving AI systems or blockchain infrastructure, apply below.
I'm a named author (1 of 5) of ERC-3643. $32B+ runs on it. I'll review your tokenization implementation and tell you exactly what's wrong. Most teams get 3 things wrong. You'll know in a week.
I build production AI-agent systems end to end: RAG, verified citations, evals, model routing and workflow automation. A recent reconciliation workflow went from 8 hours to 23 minutes.
Full CTO function for your AI or Web3 team. Architecture, hiring, shipping. I've done this for protocols handling $441M in volume.