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Adam BoudjemaaAB

Adam Boudjemaa

AI & Blockchain Agents Engineer | LLM, RAG

€700/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Adam

Your generative AI projects must work in production, not just stay as demos. As an AI Engineer, I design and deploy RAG platforms and AI agent systems (LLMs) built for real-world load and regulated finance.

What I Deliver

  • End-to-end RAG platforms and AI agents: Python, FastAPI, PostgreSQL/pgvector, AWS
  • Business process automation: tasks that took days now take minutes
  • Multi-source data ingestion (documents, scans, OCR), searchable in natural language
  • LLM cost control (caps, routing) and anti-hallucination (verified citations)
  • Model fine-tuning, evaluations, red teaming, MLOps
  • AI-powered document fraud detection (counterfeit documents, falsified payslips)

Proof, Not Promises

  • A production platform with 11 AI agents for a US real estate fund ($3B AUM)
  • 21 Claude Code plugins, 200 agents, 1,300 tests
  • 60% reduction in a production AWS bill

What Sets Me Apart: Ten Years of Blockchain and Smart Contracts Before AI.

  • Author of 4 Ethereum standards, including ERC-3643 (Final status), the standard for tokenized securities (over $32B tokenized, adopted by Apex Group, $3.5T AUM, specifically mentioned by the SEC Chairman); first author of ERC-6960.
  • Expert in Real-World Asset (RWA) tokenization and on-chain compliance; former CTO of a Layer-1 blockchain (mainnet ready for launch).
If your project involves AI, regulated finance, smart contracts, or RWA tokenization, we already speak the same language.

Available immediately, fully remote or on-site. I respond quickly: tell me your objective and your first obstacle, and I'll tell you how we'll overcome it.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • Ilayer
    AI Engineer
    PRIVATE EQUITY
    March 2026 - July 2026 (4 months)
    Houston, United States
    Ilayer is a generative AI automation company. As a forward-deployed AI Engineer (embedded with the client), I designed and delivered solo the automation platform for the company's largest client: a US real estate private equity fund with approximately $3 billion in assets under management. 11 AI agents in production, connected to existing systems (leases, occupancy, compliance, investor reporting), searchable in natural language.
    • Business process automation: bank reconciliation from **8 hours to 23 minutes**, tasks that took days now take minutes; scheduled proactive agents (daily reconciliation, weekly financial reports, and lease alerts, monthly closing); prototyped email triage and responses.
    • Data ingestion and unification: approximately2 TBand1.4 millionfiles over 13 years, from 13 sources, including Microsoft 365 (over 1.1 million objects) and property management software via a custom SOAP client.
    • RAG (Retrieval-Augmented Generation) FastAPI (Python) + pgvector: embeddings, LLM vision OCR (large language model), Amazon Textract fallback.
    • Anti-hallucination: byte-for-byte verified citations, NLI (natural language inference) and numerical checks, abstention if proof is lacking; evals and red teaming (simulated attacks).
    • LLM cost control: monitoring, daily and monthly caps, automatic routing between models based on complexity.
    • Internal hub consolidating about twenty tools and pages, AI-powered document fraud detection, AWS deployment.
    AI Agents LLM RAG Artificial Intelligence Generative AI
  • Integra
    Chief Technology Officer (CTO)
    REAL ESTATE
    March 2025 - June 2026 (1 year and 3 months)
    Dubaï, United Arab Emirates
    CTO of Integra, an EVM-compatible Layer-1 blockchain built on the Cosmos stack for real estate tokenization and RWAs (real-world assets), backed by a consortium of **over $12 billion in assets under management**. Scope: protocol, smart contracts in Solidity, infrastructure, security, and a team built from scratch (5 full-stack developers, 1 UI/UX designer), delivery assisted by LLMs (large language models) on specs, edge cases, and QA scenarios. Every decision is carefully considered and tooled before touching production.
    • End-to-end Cosmos EVM stack fork deployed: genesis, public testnet, mainnet ready for launch; 4 out of 4 validators on cloud hosts to de-correlate risks.
    • RPC security audit before launch:25 fixes(integer safety, panics, OOM vectors, spec compliance).
    • Versioned configuration with drift check in CI (continuous integration); monitoring, status page, alerting, and runbooks (operational procedures).
    • Consensus guardrails recalculated before each intervention; verified key backups, secrets outside of code; Go memory tuning (GOMEMLIMIT) applied upstream on nodes.
    • Anti-bot defenses on the faucet (test token dispenser): cooldowns per wallet, IP, and session.
    • Open-source contributions to the Cosmos stack: fixes merged into cosmos/evm and CometBFT; operated and hardened fork.
    • Results: production AWS bill reduced by **60%**; testnet completed with **600,000 users**.
    Tokenization Smart Contract Typescript Web3 RWA
  • Solichain
    Co-founder & Lead Developer
    BANKING AND INSURANCE
    January 2024 - January 2026 (2 years)
    Dubaï, United Arab Emirates
    Co-founder of a Web3 development studio in Dubai, specializing in real-world asset (RWA) tokenization and compliance infrastructure on L1 and L2 blockchains. Led multi-chain development, managed 3 developers, worked directly with governments, regulators, and regulatory sandboxes.
    • Tokenization platforms forcarbon creditsand renewable energy assets: ERC-6960 standard, IPFS storage, dApp (decentralized application) in TypeScript.
    • ERC-6960 trade finance marketplace delivered for Voy-Finance client.
    • Prototyped porting the ERC-3643 compliance standard to Starknet, in Cairo.
    • Real estate tokenization: condo tokens in Solidity.
    • Smart contract audits for third parties; LLM-assisted code reviews; conferences and contribution to the VARA ecosystem.
    RWA ERC3643 Typescript Solidity Tokenization

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Education

  • Software Engineering
    42 Paris
    2018
    Ingénierie logicielle

Skill set

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