Summary
Kemal Uçar is a Senior ML Engineer based in Paris with 11 years of experience building production-grade AI and software systems across Fintech, E‑commerce, and Adtech. He designs and ships end-to-end solutions—LLM-powered chatbots, on‑prem inference infrastructure, fraud and risk models, and backend APIs—while emphasizing incremental delivery, clean architecture, and rigorous testing. At Numberly and previous roles he benchmarked open‑source LLMs, led prompt‑engineering adoption, and built private-server deployments that balance performance and cost. A practitioner-researcher who publishes technical articles on Medium, he pairs deep NLP and algorithmic interests with pragmatic engineering: comfortable in both Python model stacks and Java-based production services. Outside work he pursues analog photography and architecture, a detail-oriented hobby set that mirrors his penchant for careful, observable systems.
11 years of coding experience
9 years of employment as a software developer
Exchange Computer Science, Exchange Computer Science at EPITA: Ecole d'Ingénieurs en Informatique
Master’s Degree Computer Engineering, Master’s Degree Computer Engineering at Marmara University
English, French, Turkish