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Adam BoudjemaaAI Engineer & Ethereum standards author

Production AI. Regulated Web3.

Production AI agents for regulated finance, from the engineer who authored the Ethereum standards behind tokenized securities.

  • 3 Ethereum standards authored, plus the ERC-8203 reference implementation
  • $32B+ tokenized on ERC-3643, a standard I authored
  • 11-agent AI platform shipped solo, now in production
$441M

▸ OTHERS' ACTIVITY, ON MY WORK

On-Chain Volume

Moved through Biconomy Nexus, the account-abstraction infra I led

First-party: my record of the Biconomy infrastructure I led

3

ERC Standards

Three Ethereum standards, authored by me. Separately, I wrote the reference code for a fourth, the ERC-8203 draft.

Named author on eips.ethereum.org (ERC-3643)

2,500+

Smart Contracts

I wrote and shipped these across a decade

First-party: my own shipping record

~46

Integra Agents

AI agents I deployed for internal operations at Integra, where I was CTO

First-party: from Integra internal operations

38M+

▸ OTHERS' ACTIVITY, ON MY WORK

Transactions

Processed by the Biconomy infrastructure I led

First-party: my record of the Biconomy infrastructure I led

$32B+

▸ OTHERS' ACTIVITY, ON MY WORK

Tokenized · ERC-3643

Real assets carried by the standard I co-authored. Adopted by Apex Group

ERC3643 Association, erc3643.org, 2025

I eliminate manual processes that cost real money.

AI agents, technical leadership, and systems that scale.

AI Agent Systems

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.

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Fractional CTO

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.

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Architecture Review

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.

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Shipping with agents, live.

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 private-equity fund (~$3B in assets under management), solo, forward-deployed.

FINAL
ERC-3643

Regulated securities, on-chain

Co-author

What it does
Makes regulated financial assets work on Ethereum. Identity checks and transfer restrictions are built into the token itself, so it can only move between verified holders.
Read the spec
DRAFT
ERC-6960

An asset and its fractions, in one token

First author

What it does
One contract that represents both a whole asset and fractional shares of it. Layer one is the asset, layer two is a fraction of it, with no second contract needed.
Read the spec
DRAFT
ERC-7410

Taking back spending permissions

Co-author

What it does
An ERC-20 extension that lets a spender lower or revoke the allowance an owner granted it, without waiting for the owner to act.
Read the spec
IN REVIEW
ERC-8203

Settlement between AI agents

Reference code, not author

What it does
A draft on settling work between AI agents when the work itself happens off-chain. The primary author is Xianrui Qin; I built the reference implementation.
Read the spec
▸ WHERE I HAVE WORKED

Logos are the property of their owners, shown to identify past employers and clients.

Named Contributor of the Year, twice, by the tech publication Hacker Noon
I mentor startups at Outlier Ventures and Startup Wise Guys
Alumnus of 42 Paris, the project-only coding school

Let's build something.

CURRENT AVAILABILITY: AVAILABLE NOW

I take 2-3 clients at a time. If you've got a hard technical problem involving AI systems or blockchain infrastructure, apply below.

ERC-3643 Audit

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.

BOOK AN AUDIT

AI Agent Systems

I build production AI-agent systems end to end: RAG, verified citations, evals, model routing and workflow automation. A recent bank-reconciliation workflow went from 8 hours to 23 minutes.

APPLY

Fractional CTO

Full CTO function for your AI or Web3 team. Architecture, hiring, shipping. I've done this for protocols handling $441M in volume.

CHECK AVAILABILITY

The Shipping Report

AI agent architecture. Protocol decisions. Builder lessons that don't make it into whitepapers.

What I built this week, what broke, what shipped. Every Tuesday.

NO SPAM. NO FLUFF. UNSUBSCRIBE WHENEVER.