Donatas Repečka

Research Scientist

Lithuania
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Summary

👤
Senior
🎓
Top School
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.
code10 years of coding experience
job6 years of employment as a software developer
bookJunior Python developer, 410 hour Python Development Advanced Studies, Junior Python developer, 410 hour Python Development Advanced Studies at CodeAcademy
bookMaster of Engineering - MEng, Mechatronics, Robotics, and Automation Engineering, Master of Engineering - MEng, Mechatronics, Robotics, and Automation Engineering at Vilnius Gediminas Technical University
bookData Engineering, Data Engineering at Turing College
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Github Skills (20)

audio10
pytorch9
python9
llm9
machine-learning9
multimodal9
natural-language-processing9
deep-learning9
speech-recognition9
nlp9
transformer9
gemma8
glm8
inference8
transformers8

Programming languages (3)

Jupyter NotebookRubyPython

Github contributions (5)

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donatasrep/alphafold

Jan 2023 - Oct 2024

Contributions:4 releases, 11 PRs, 21 pushes in 1 year 9 months
alphafold
donatasrep/bert

Nov 2018 - Oct 2020

TensorFlow code and pre-trained models for BERT
Contributions:2 PRs, 182 pushes, 1 branch in 1 year 11 months
nlpbertpre-trainedtensorflownatural-language-processing
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