Dmitrii Mukhutdinov is a Senior ML Engineer with 14 years of experience building production-grade ML systems and blockchain infrastructure, currently architecting the generative AI stack for automatic video translation and dubbing at Brask. He combines deep academic training (MSc in AI from Edinburgh, MSc from ITMO, and a pending PhD in CS from QMUL) with hands-on engineering in Haskell and backend systems, having contributed to and maintained core Cardano SL backend components. His background spans leading a core blockchain team, developing Algorand smart contracts, and optimizing media infrastructure and ML-driven video search at scale. Comfortable across data engineering, model training, inference pipelines and internal API design, he bridges research rigor with pragmatic delivery. An under-the-radar strength is his ability to move between audio deep learning and cryptography projects, making him a rare hybrid of audio DL practitioner and blockchain systems developer.
13 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at The University of Edinburgh
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Queen Mary University of London
Master's degree, Математические модели в разработке ПО, Master's degree, Математические модели в разработке ПО at Университет ИТМО
Contributions:797 commits, 122 PRs, 523 pushes in 1 year 1 month
Contributions summary:Dmitrii contributed to the implementation and maintenance of the backend logic for the Cardano SL project, specifically focusing on the 'cardano-sl' repository. Their work involved merging branches related to full-node wallet functionality and CSL-362. This indicates their responsibility for integrating features and refactoring components in the backend, including changes in core block handling and transaction processing, using Haskell and likely associated Cardano-specific libraries and infrastructure.
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