Semih Uçan
Ai Software Engineer @Validaitor
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WORK HISTORY
Ai Software Engineer @Validaitor
Karlsruhe, DE
Design and development of a Trustworthy AI Platform that enables organizations to test, validate, and govern AI systems across their entire lifecycle, covering both Generative AI (LLMs) and traditional machine learning models. Backend development for the AI validation platform using Python and Django Design and implementation of AI testing pipelines, including security and robustness testing, fairness and bias analysis, privacy evaluations, and evaluation of LLM-based systems and classical ML models Contribution to AI governance and compliance workflows aligned with ISO/IEC 42001 and EU AI Act requirements Work on cloud-based infrastructure and MLOps tooling to support production-ready AI validation workflows Development of frontend components and interactive dashboards using Next.js for configuration, monitoring, and result analysisFocus on building scalable, regulation-aware, and production-grade AI validation systems that enable trustworthy, transparent, and compliant deployment of AI solutions.
EDUCATION
Istanbul Technical University
Bachelor's degree, Computer Engineering
Technical University of Munich
Master's degree, Informatics
Istanbul Technical University
Master of Science - MS, Computer Engineering
ABOUT SEMIH UÇAN
I’m Semih, a Software Engineer building LLM-powered and agentic AI systems, with a strong focus on security and trustworthy AI.At Validaitor, I work on building a Trustworthy AI Platform for AI testing, autonomous GRC, and risk management, helping organizations deploy AI systems safely and responsibly.I hold a Master’s degree in Computer Science from the Technical University of Munich (TUM) and a Bachelor\'s degree from Istanbul Technical University. My thesis focused on LLM-driven autonomous fuzzing, where I combined LLMs with automated vulnerability discovery.My work sits at the intersection of LLMs, security, and real-world AI systems, with a strong emphasis on turning research ideas into production-ready systems.
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