Vlad Vinogradov is a co-founder and CTO with 11 years of experience building deep learning and computer vision systems, now leading AI research to develop foundational models for early-stage drug discovery in San Francisco. He combines a strong research background (Master’s in Data Science) with hands-on engineering leadership, having led teams of up to 10 engineers and shipped production systems for image retrieval, biometric face systems, and large-scale inference platforms. Vlad’s career spans applied R&D at Beiersdorf to founding startups—most notably EORA’s open-source TorchOk training pipeline and VisionHub inference service—and a prior focus on trust & safety that produced a best-in-class NFT copymint detection system for OpenSea. He is skeptical of conventional virtual screening evaluation protocols and intentionally borrows rigor from computer vision and NLP to mine higher-quality data for biotech problems. Known as a mentor and pragmatic CTO, he balances fast iteration with reproducible tooling and has repeatedly turned research prototypes into scalable products.
11 years of coding experience
6 years of employment as a software developer
Master's degree Information Technology Data Science, Master's degree Information Technology Data Science at Innopolis University, (Russia, The Republic of Tatarstan, Innopolis)
Bachelor's degree Computer Science, Bachelor's degree Computer Science at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
Contributions:5728 pushes, 2 branches, 250 comments in 4 years 5 months
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