Summary
Yassine Elazrak is a Paris-based software engineer and co-founder with seven years of experience building production ML and cloud-native systems, and four years focused specifically on designing, deploying, and operationalizing machine learning models. He has led end-to-end projects from recommendation engines and reinforcement-learning trading models to OCPP/OCPI integrations for EV charging platforms, combining FastAPI, WebSockets, Kafka, Redis, Airflow, and Terraform on Azure/Kubernetes. Comfortable across Python, JavaScript, and TypeScript, he bridges backend, data engineering, and DevOps responsibilities while owning API and interoperability work with external partners. Notably, he’s executed both product-facing ML features (visual dashboards and Next.js frontends) and low-latency real-time systems, reflecting an uncommon mix of applied ML and cloud protocol engineering.
7 years of coding experience
5 years of employment as a software developer
licence Sciences Mathématiques et Applications (SMA) , Sciences Mathématiques et Applications (SMA), licence Sciences Mathématiques et Applications (SMA) , Sciences Mathématiques et Applications (SMA) at Faculté Polydisciplinaire de Khouribga
Junior, Software Engineering, Junior, Software Engineering at 1337 Coding School