Konstantin Alexandrov is a founder and seasoned software engineer with over a decade of professional experience and more than two decades of hands-on engineering background, now leading Taûg—an AI-driven nutrition startup that applies depth-sensing and proprietary computer vision to measure portion sizes without scales. He combines enterprise-grade ML and cloud skills honed at Microsoft, Spotify, and H&M with a proven track record as an independent consultant delivering optimization models, payment integrations, and DevOps tooling. Konstantin bridges research-grade algorithms and practical product execution, translating complex sensor data into user-friendly nutrition insights. Comfortable across Python, cloud-native ML pipelines, and full-stack systems, he focuses on building commercially viable AI solutions that solve everyday problems. Based in Stockholm, he pairs technical depth from degrees in computer-aided design and computer systems with entrepreneurial fluency gained through Antler and running his own company. An understated strength is his knack for turning experimental sensing technologies into production-ready features that prioritize accuracy and user experience.
11 years of coding experience
11 years of employment as a software developer
Master of Science (MSc), Computer aided design, Master of Science (MSc), Computer aided design at Moscow State Institute of Electronics and Mathematics (Technical University)
Bachelor of Science (BSc), Computer systems and networks, Bachelor of Science (BSc), Computer systems and networks at Bauman Moscow State Technical University
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