Freelancer profile translated to English.
Back to original languageAbout Anatole
I build AI products and lead the teams that deploy them in production.
You typically contact me when:
- you have an AI PoC that works, but can't get to production;
- you want to launch an AI product and don't know where to start;
- you need to build or restructure an AI team (5 to 20 people);
- you are evaluating an investment in an AI company and need technical due diligence;
- you want an independent and experienced opinion on your AI strategy;
- you want to deploy an AI tool in your company to transform it;
Background
Co-founder and CTPO of SustainEcho (2020-2024) — a SaaS platform for Life Cycle Assessment (LCA) for construction and engineering. From scratch to a team of 20 people and 1,000 clients (including Bouygues, Vinci, Egis, Artelia). Acquired by Egis in 2023.
Since 2023, AI Lead at Egis (engineering, consulting and mobility group, 18,000 people). I lead a team of 10 people (engineers + product) operating Iris, the group's internal GenAI platform used daily by 3,000 employees, and delivering AI products for Egis' infrastructure and mobility clients.
Before SustainEcho: ML research at Criteo AI Lab, computer vision at YOOBIC (Tel Aviv / London), optimization at Veolia. Engineer from École des Ponts + master MPRO-MVA (operational research and machine learning, Paris-Saclay).
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- EgisAI LeadCIVIL ENGINEERINGMarch 2023 - Today (3 years and 3 months)Paris, FranceAI Lead at Egis (consulting, engineering, mobility — 18k people globally). Built and scaled a 10-person cross-functional team (engineering + product), shipping AI from idea to production across the group: internal platforms, client-facing products, and tailored business-unit solutions.Scope:•Internal AI platforms — designed and run the group's GenAI productivity platform, used daily by thousands of employees across business lines. RAG, generative drafting, document understanding, agentic workflows.•Client-facing AI products — AI solutions for infrastructure, mobility and the built environment, from PoC through production deployment.•Tailored business-unit solutions — bespoke AI integrations into core Egis workflows, spanning RAG, generative AI, computer vision, optimization and predictive modeling.•AI strategy & roadmap — partnering with executives and business leaders to frame realistic AI roadmaps: what to build, what to kill, when to scale.•Team building — hiring, structuring and mentoring engineers and product people on AI craft, shipping discipline and product judgment.
- SustainEchoCo-founder and CTPO (Chief Technical and Product Officer)ENVIRONMENTALNovember 2019 - March 2024 (4 years and 4 months)Paris, FranceCo-founded and led the technical and product organization of SustainEcho, the SaaS platform powering Life Cycle Assessment (LCA) for the construction & engineering industry.Took the company from a blank page to a 20-person team and to an acquisition by Egis in 2023.Scope:•Built and led a 15-person technical + product + customer team (engineering, design, product, customer success).•Owned tech vision, architecture, and roadmap across the full stack: backend, frontend, data, and computation engine.•Owned product strategy and discovery — went deep on user research with senior engineers from major construction firms.•Closed and delivered enterprise customers: Bouygues, Vinci, Egis, Artelia (and others) — large, complex B2B sales cycles.•Active in fundraising, executive hiring, and operational scaling.•Successfully exited to Egis in 2023.
- CriteoResearch InternApril 2019 - September 2019 (5 months)Paris, FranceDesigned an encoder architecture to make deep recommender systems tractable on industrial-scale datasets, alongside the Criteo AI Lab research team.
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Education
- MPRO - MVA (Parisian Master of Operational Research - Mathematics, Vision and Learning)Ecole Nationale des Ponts et Chaussées2019Machine Learning, Optimisation
- Machine Learning Engineer from École des PontsEcole Nationale des Ponts et Chaussées2018Machine Learning