Michael Gygli is a Research Scientist in AI with a decade of experience bridging cutting-edge research and production systems, currently leading applied research on search architecture at Zalando. He designs and ships multimodal and generative AI solutions—most recently a CLIP-based neural retrieval system that increased high-value search actions by 20% and an optimized LLM assistant—delivering measurable A/B-tested gains in engagement and latency. A former YC co-founder and CTO of Cerrion, he built a real-time video analytics pipeline and grew the engineering team while commercializing CV solutions for manufacturing. His background includes research roles at Google Zurich and a PhD in Computer Vision from ETH Zurich with 30+ publications and 3.4k+ citations, reflecting deep technical credibility. Michael combines product-focused engineering with academic rigor, uniquely fluent in moving vision-language research from papers into robust, scalable production.
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Michael Gygli - Research Scientist in AI at Cerrion