Tolga Yılmaz is a Research Scientist and part-time PhD candidate with 11 years of experience building secure, production-ready systems that span system architecture, DevOps/DevSecOps, and security engineering. He applies deep expertise in machine learning—statistical, deep, and deep reinforcement learning—to design end-to-end ML pipelines and information retrieval solutions that extract actionable insights from complex data. A Linux and *nix power user, Tolga blends low-level systems fluency with applied AI research to bridge prototypes and operational deployments. Based in the UK, he combines rigorous academic training from Bilkent University with hands-on R&D practice, and maintains a security-focused research profile on GitHub. Notably, he pairs research depth with practical engineering, often translating security findings into hardened, auditable system designs.
11 years of coding experience
Bachelor of Science (BS), Computer Engineering, Bachelor of Science (BS), Computer Engineering at Bilkent University
High School Diploma, High School Diploma at Sivas Fen Lisesi
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