Denis Bulgakov
Senior Android Developer at Mail.ru Group
Russia
Summary
🤩
Rockstar🎓
Top SchoolDenis Bulgakov is a Senior Android Developer with over 6 years of professional experience and a decade-plus background in software roles at Mail.ru Group and earlier firms, bringing deep expertise in mobile engineering and production-grade app delivery. Trained as an engineer in mechatronics and robotics at Bauman Moscow State Technical University, he blends systems thinking with pragmatic software craftsmanship. At Mail.ru Group he progressed from software developer to senior lead, driving Android features and stability for large-scale user-facing products. An avid open-source tinkerer and "Art-Hooligan" on GitHub, he has applied ML techniques to creative projects such as a Face-Depixelizer adaptation for Google Colaboratory, bridging machine learning experimentation and practical tooling. Known for translating research prototypes into usable tools, he combines curiosity about ML in art with a strong track record of shipping reliable mobile software.
6 years of coding experience
11 years of employment as a software developer
Engineer's degree, Mechatronics, Robotics, and Automation Engineering, Engineer's degree, Mechatronics, Robotics, and Automation Engineering at Bauman Moscow State Technical University
Russian, English
Github Skills (8)
computer-vision10
stylegan10
machine-learning10
python10
google-colaboratory10
image-processing9
jupyter-notebook9
tensorflow8
Programming languages (2)
Github contributions (5)
tg-bomze/Face-Depixelizer
Jun 2020 - Jun 2020
Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
Role in this project:
ML Engineer
ML EngineerContributions:22 commits, 3 PRs, 22 pushes in 7 days
Contributions summary:Denis's contributions primarily involve modifying and adapting existing code within a Colaboratory environment to run a face de-pixelization model. The commits showcase the user's focus on adapting the original codebase, likely to improve usability, add features such as language translations, and allow the model to run smoothly on the Google Colaboratory platform by providing settings for advanced users. The changes include adjustments to input and output paths, and adding advanced user settings.
supervisedupsamplinglatent-spacecomputer-visionpulse
tg-bomze/Style-Transfer-Collection
Jul 2020 - Jun 2021
Contributions:14 commits, 13 pushes, 1 branch in 11 months
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