Summary
Benjamin Lazard is an AI engineer with ~10 years’ experience building end-to-end ML and data products for startups and enterprises, currently leading Memory efforts and agent observability at seed-stage Qevlar AI. He combines hands-on full‑stack engineering, model deployment, and product-driven feature design—having shipped demand forecasting, churn models, GenAI document generation, and CTI NER tooling across Rappi, Artefact, Filigran and others. Comfortable operating where strategy meets implementation, he has repeatedly created data teams, CI/CD standards and scalable pipelines that moved prototypes into production. Ambitious about joining or founding early-stage ventures, he pairs top-tier academic training (École Polytechnique, HEC, Télécom Paris) with practical experience in LangChain, cloud ML platforms and infrastructure. Notably, he blends cybersecurity agent work with product metrics and observability—a mix that makes him as focused on investigation quality and customer customization as on model performance.
10 years of coding experience
5 years of employment as a software developer
MVA, Intelligence artificielle, MVA, Intelligence artificielle at ENS Paris-Saclay
CPGE: Classes préparatoires aux Grandes Ecoles, MPSI-PSI*, CPGE: Classes préparatoires aux Grandes Ecoles, MPSI-PSI* at Lycée Louis-le-Grand
[No degree], HTML CSS Bootstrap Android javascript C, [No degree], HTML CSS Bootstrap Android javascript C at OpenClassrooms
Master of Engineering [MEng], Data Science, Systems for Communicating Objects, Master of Engineering [MEng], Data Science, Systems for Communicating Objects at Télécom Paris
MiM - Master in Management (Grande Ecole Program), business administration, MiM - Master in Management (Grande Ecole Program), business administration at HEC Paris
Master of Science [data-science], Machine Learning, Master of Science [data-science], Machine Learning at École Polytechnique
Chinese, French, English, Spanish