Erwan Ledoux is a Paris-based generative AI developer and entrepreneur with 13 years of experience building full-stack, research-informed software for public sector and climate-focused organisations. Trained as a theoretical neuroscientist (PhD) and ENS alumnus, he blends deep research on neural models and predictive coding with hands-on engineering—deploying AI infrastructure for France’s public administration (ALBERT) and leading data science at climate resilience startup Mayane. He has driven fact-checking and trust models at Science Feedback, combining ML research with product-grade systems to assess misinformation on climate and health. Comfortable from model theory to production infra, he also explores semi-automatic music composition and climate fact-checking on GitHub—an unusual mix that reflects both scientific rigor and creative tooling.
13 years of coding experience
4 years of employment as a software developer
PhD, Neurosciences théoriques, PhD, Neurosciences théoriques at Ecole Doctorale Cerveau-Cognition-Comportement
Classes préparatoires, Biologie Chimie Physique et Sciences de la Terre (BCPST), Classes préparatoires, Biologie Chimie Physique et Sciences de la Terre (BCPST) at Lycée Henri IV Paris
BA in Physics and BA/MA in Biology (Neurosciences), Physics, BA in Physics and BA/MA in Biology (Neurosciences), Physics at Ecole Normale Superieure Paris
SQLAlchemy-Api-Handler is an extension that adds support for handling apis with sqlalchemy : serialization from entity, instanciation from nested dict structures, operational transforms.
Contributions:58 reviews, 540 commits, 75 PRs in 2 years 11 months
React lib displaying a layer of modals through redux actions
Contributions:4 PRs, 42 pushes, 5 branches in 2 years 6 months
reactreact-libreduxreact-componentsredux-actions
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