Ivan Slijepčević is a Machine Learning Engineer with 13 years of experience building full-stack systems to detect and prevent abuse and fraud at scale. He has applied ML in production across major platforms including Meta, Instagram, Facebook AI, Mapbox and Google’s Trust & Safety teams, blending research rigour from his EPFL MSc with hands-on engineering. Comfortable moving between research and deployment, he consults on machine learning research while shipping robust tooling for high-throughput environments. Based in London, he brings deep domain expertise in safety-focused ML and a track record of improving signal quality and automation in adversarial settings — often surfacing subtle patterns that traditional rule-based systems miss.
13 years of coding experience
9 years of employment as a software developer
Bachelor's degree Electrical engineering and Computing, Bachelor's degree Electrical engineering and Computing at University of Zagreb / Sveučilište u Zagrebu
high school, high school at XV. gimnazija
Master of Science (M.Sc.) Computational Science and Engineering, Master of Science (M.Sc.) Computational Science and Engineering at EPFL
Contributions:21 commits, 12 pushes in 9 years 9 months
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