Thomas Legrand is a full‑stack TypeScript engineer and co-founder with 10 years of experience building AI-enabled recruitment and analytics products, blending frontend expertise in Vue/Nuxt and React with backend systems using Deno, Node, Postgres and vector search. A former data scientist and machine learning engineer, he has shipped production ML pipelines (knowledge tracing, OCR, prediction and inference automation) and led in-house CV parsing and candidate-matching SaaS features that bridge data science and product. At Jemmo and FreelanceRepublik he architected microservices, worker-based load management and AI integrations, while earlier roles at Ornikar and Mention honed his signal-processing and NLP skills at scale. Active in Data4Good and co-developer of the Encadrement apartment-search extension, he pairs entrepreneurial drive with a knack for turning research-grade models into user-facing, testable systems. Based in Nice, he brings a practical, end-to-end mindset that favors observable, well-tested deployments and fast iteration.
10 years of coding experience
5 years of employment as a software developer
PSI* : Physique Science de l'Ingénieur, PSI* : Physique Science de l'Ingénieur at Lycée Fabert
Machine Learning Data mining Cloud technologies Network Security, Machine Learning Data mining Cloud technologies Network Security at Dublin City University
Statistical modelling and applications, Statistical modelling and applications at Télécom SudParis
Contributions:2 PRs, 39 pushes, 2 branches in 2 years 10 months
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