AI, from research to product.
I'm an AI engineer. My job is to design complete AI systems — not notebooks, but products that run in production.
I work as much on model design and training as on orchestrating autonomous agents able to reason, use tools and collaborate.
I've been programming since middle school — my first projects were Minecraft servers in Java. That passion for code, never lost, led me self-taught all the way to applied AI.
One obsession: rigor. Evaluated, observable and reliable systems, where every technical choice is justified by the value delivered.
of AI projects actually reach production. My job: building the ones that do.
Outside work
Hyrox, and a former semi-professional World of Warcraft player — the same demand for performance, discipline and continuous progress.
What I build.
Agents & agentic systems
Autonomous agents and multi-agent workflows: planning, tool use, RAG, memory and self-correction.
End-to-end AI systems
From data to production: ingestion, inference, APIs and scaling.
Model design & training
Architectures, training from scratch, fine-tuning and rigorous evaluation.
LLMOps & production
Observability, automated evaluations, cost control and real-world reliability.
Selected work.
Speech-to-Text · LLM
Call transcription & summarization
Automatic transcription and summarization of prospecting calls. 100% adoption across the company, with over 300 uses per month.
AI editor · Agents
AI-assisted writing platform
A Cursor-like editor for writing: generates copy and newsletters from client materials (PDFs parsed via OCR), the web or audio interviews, with agents that fact-check the content. A dedicated mode also generates call scripts from a client brief, via an LLM fine-tuned specifically for the task and continuously improved (collecting the edits users make to the generated content).
Agents · RAG · NLP
Autonomous monitoring system & newsletters
Autonomous agents run daily monitoring on topics created on the fly and turn them into newsletters: trend charts, vector analysis of topics and vectorization of the collected content — including PDFs parsed via OCR — to write newsletters and articles.
Agents · Automation
Business automation agents
Development of various agents integrated into existing applications to automate workflows and business tasks.
Data · LLM
Company data enrichment
Enrichment from reliable sources (e.g. actual revenue) via a Monte-Carlo tree search guided by an LLM evaluator, with OCR parsing of source PDF documents. Several million rows processed.
Company analysis · Sales enablement
Account Intelligence
Generates reports of several dozen pages analyzing a company against internal criteria (AI, SaaS…) to target and guide sales teams. Nearly 10 orders and around €50k in revenue within the first month of launch, from clients including a major data company.
Entity matching
Company data matching
Matches a list of companies against the internal database using LLM arbiters, with matches enriched by web search. 80% precision on matches (false positives included).
RAG
AI use-case directory
A repository of how-tos and use cases for AI and agents in business — about 2,300 cases referenced, sourced or not — with their associated benefits, queryable via RAG retrievers; source PDFs parsed via OCR.
Data engineering
Prospect database structuring
Normalization, structuring and use of prospect databases of over a million rows.
Built from scratch, out of curiosity.
From scratch · AI
Chess-playing AI & LLMs
A chess engine built from scratch, then experiments with chess-playing LLMs — search, evaluation and reasoning.
Systems
Blockchain from scratch
A blockchain implemented entirely by hand to understand its mechanics: blocks, consensus, transactions.
Solidity · Security
Smart contracts & DeFi
Solidity smart contract development and sandwich-attack (MEV) experiments to understand on-chain security.
Java · Game dev
Minecraft servers (Java plugins)
Design and development of Minecraft servers via custom Java plugins.
Experience & education.
2023 — Present
Data & AI Project Manager
ITFacto
First on a work-study contract, then full-time. Since joining, I have designed and built the company's entire suite of AI applications self-taught, from scoping to production. Initially alone on the Data & AI scope, I supported its growth into a 4-person team — coordination, scoping and skills development.
2023
Internship — Java Developer
Banque de France — Over-indebtedness department
Java development for the over-indebtedness department, within an Agile team — my first immersion in a structured, iterative development environment.
2021 — 2024
Engineering degree (MSc) — Artificial Intelligence major
CY Tech
AI engineering program, final year completed on a work-study contract at ITFacto.
2019 — 2021
Preparatory classes for engineering schools (MPSI then PSI*)
Lycées Clemenceau & Franklin Roosevelt — Reims
Mathematics, physics and engineering science (scientific CPGE).
2019
French scientific Baccalauréat (science track)
Lycée François 1er — Vitry-le-François
Science track.
What people say about my work.
We wholeheartedly recommend Quentin, who now brings significant seniority to AI roles and roles bridging AI and business in research, exploration, and implementation environments.
Nicolas Beaumont
Managing Director · ITFacto
Let's build something intelligent.
An AI project, an agent system to design, or simply want to chat? Drop me a line.
contact@elpopeye.fr