Summary
Sergey Antopolskiy is a data-driven CTO and co-founder with nine years of experience building end-to-end AI products, MLOps pipelines, and cloud-native architectures across startups and enterprise engagements. He blends a PhD in cognitive neuroscience with hands-on software and data engineering—shipping NLP, process-mining, BCI and root-cause analysis models and maintaining production tooling on AWS, Azure and GCP. Known for leading small engineering teams, he focuses on pragmatic automation (DVC, MLFlow, CI/CD), vector databases and LLM integrations to turn messy, multi-source data into reliable, deployable services. Sergey’s background in neuroscience and academic research gives him a sharp instinct for experimental design and uncertainty quantification that informs robust model development and product decisions. Based in Emilia-Romagna, Italy, he pairs full-stack development experience (TypeScript/React/tRPC) with a strong track record of mentoring, cross-team collaboration and improving engineering processes.
9 years of coding experience
6 years of employment as a software developer
Advanced Course in Computational Neuroscience, Advanced Course in Computational Neuroscience at Frankfurt Institute for Advanced Studies
Doctor of Philosophy (PhD) Cognitive Neuroscience, Doctor of Philosophy (PhD) Cognitive Neuroscience at Scuola Internazionale Superiore di Studi Avanzati di Trieste
Neural systems and Behavior, Neural systems and Behavior at Marine Biological Laboratory, Woods Hole, MA, USA
Lomonosov Moscow State University
English, Russian, Italian