Donatas Repečka is an AI scientist and co-founder with a decade of experience building deep learning and big data systems, now leading Biomatter’s AI efforts to design enzymes from scratch. As Head of Artificial Intelligence (and previously CTO), he bridges synthetic biology and generative models to create production-ready tools for protein engineering. His background spans roles in data engineering and backend microservice development at IBM and Scale3C, giving him a pragmatic, production-first approach to research. Trained in Computer Science and Business at the University of Warwick, he combines technical rigor with commercial insight to move lab-scale models into deployable pipelines. Based in Lithuania, he’s notable for translating advanced generative techniques into tangible bioengineering capabilities—a rare blend of ML depth and domain-specific impact.
10 years of coding experience
6 years of employment as a software developer
Junior Python developer, 410 hour Python Development Advanced Studies, Junior Python developer, 410 hour Python Development Advanced Studies at CodeAcademy
Master of Engineering - MEng, Mechatronics, Robotics, and Automation Engineering, Master of Engineering - MEng, Mechatronics, Robotics, and Automation Engineering at Vilnius Gediminas Technical University
Data Engineering, Data Engineering at Turing College
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