Michael Demertzi is an applied perception and multimodal AI engineer with 11 years’ experience building safety-critical systems for aviation and autonomous delivery. He shipped perception products at Zipline—supporting the world's largest lifesaving delivery network—and now works on multimodal AI research at TikTok while co-founding a stealth AI startup in Berlin. His background blends aeronautical engineering and hands-on data science from the Royal Australian Air Force through Optiver, giving him rare domain depth in real-time systems, sensor fusion, and production data platforms. Trained with a Master of Information and Data Science from UC Berkeley, he translates research into robust, deployable models that operate under stringent safety and latency constraints. Notably, he pairs operational discipline from military maintenance leadership with quant trading rigor, which informs his pragmatic approach to model validation and infrastructure.
11 years of coding experience
6 years of employment as a software developer
Master's degree, Masters of Information and Data Science, Master's degree, Masters of Information and Data Science at UC Berkeley School of Information
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