Summary
Stanislas Sokolov is a Lead AI Engineer based in Paris with nine years of software experience and four years focused on delivering production ML systems, from RAG-driven chatbots to ETL and MLOps pipelines. He combines hands-on engineering—building scalable ML infrastructure on GCP/Azure, automating lifecycles with ClearML/CI-CD and authoring reusable Python packages—with a strategic bent for defining high-value AI use cases and improving development workflows. At Regnology and Seraphin.legal he shipped domain-aware retrieval systems, hybrid retrieval/keyword models, and document-heavy datalakes that boosted legal dataset scale tenfold. Comfortable leading cross-functional teams and coaching talent, he’s now shifting toward roles that blend technical leadership with product strategy and innovation management. A practical collaborator who prototypes multi-agent and knowledge-graph approaches, he thrives in mid-sized, fast-paced companies aiming to scale AI into core product differentiation.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at EPITA: Ecole d'Ingénieurs en Informatique
English, French, Russian