Tilman Kerl is a Safeguards Data Scientist at the IAEA with a decade of hands-on experience at the intersection of data science, NLP and software engineering. He holds an MSc in Data Science from TU Wien (graduated with honors) and a BSc in Information Engineering from Universität Konstanz, and has contributed to EU-funded projects on semantic search and visual analytics as a software engineer. His research outputs include a SemEval 2024 paper on hallucination detection in LLMs using hybrid model-agnostic and model-aware methods and a computational assessment of international organizations, reflecting his blend of applied and methodological work. Comfortable moving between research and production, Tilman has delivered BI and full‑stack solutions in industry while teaching Python and volunteering in data-for-good initiatives. Based in Vienna, he now applies NLP and interpretability techniques to global safeguards problems, bringing both academic rigor and product-oriented delivery to high-impact, policy-relevant datasets.
10 years of coding experience
4 years of employment as a software developer
Vienna University of Technology
Non-degree, Computational Social Science, Non-degree, Computational Social Science at Ludwig-Maximilians-Universität München
Bachelor of Science - BSc, Information Engineering - focus NLP, Data Analysis & Visualization, Bachelor of Science - BSc, Information Engineering - focus NLP, Data Analysis & Visualization at Universität Konstanz
iliasSpider is a web scraper which downloads your materials from an ilias course (for Uni Constance)
Contributions:13 commits, 1 PR, 19 pushes in 1 year 7 months
pythonconstanceweb-scraperiliasscraper
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