Denis Mazur
Founder & CTO at Oberonweb
Amsterdam, North Holland, United States
Summary
🤩
Rockstar🎓
Top SchoolDenis Mazur is a founder and CTO with nine years of engineering leadership, best known for pioneering one of Russia’s early VR studios and building a warehouse-scale full-body tracking platform used across gaming, training, marketing and edutainment. Based in Amsterdam, he splits his time between scaling DreamVR’s product and leading Oberonweb’s technical direction, combining hands-on systems engineering with founder-level strategy. His background in computing systems (MEng) informs a pragmatic approach to distributed back-end and DevOps challenges—evident in contributions to the decentralized deep-learning hivemind project where he improved P2P relay features and hardened build tooling. Comfortable moving between hardware, real-time VR software and cloud infrastructure, he seeks international partnerships to expand immersive experiences globally. An operator at heart, Denis pairs entrepreneurial grit with low-level technical fluency, often tackling knotty integration problems others avoid.
9 years of coding experience
Master of Engineering - MEng, Сalculating machines, complexes, systems and networks, Master of Engineering - MEng, Сalculating machines, complexes, systems and networks at Tver State Technical University
Github Skills (17)
asynchronous10
pytorch10
distributed-training10
python10
async10
net10
distributed-systems10
asyncio10
network10
p2p10
python-packaging9
packaging9
package9
docker8
deep-learning8
Programming languages (5)
Github contributions (5)
learning-at-home/hivemind
Mar 2021 - Sep 2021
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:27 reviews, 114 commits, 30 PRs in 6 months
Contributions summary:Denis primarily contributed to the project's back-end infrastructure, particularly focusing on peer-to-peer (P2P) network functionality and its integration with deep learning tasks. They implemented new features, such as circuit relay options and optimized existing P2P client creation. Furthermore, the user made updates to dependencies and build configurations (e.g., checksum, version bumping). Finally, they also addressed some quality-of-life aspects by fixing line lengths and fixing a pickle vulnerability.
pytorchhiveminddhtasynciovolunteers
invisible-defects/esportsground
Oct 2017 - Oct 2017
Contributions:46 commits, 20 PRs, 41 pushes in 2 days
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