Ruslan Baynazarov
Compute Vision Lead at Tinkoff
Almaty, Kazakhstan
Summary
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Rockstar🎓
Top SchoolRuslan Baynazarov is a Computer Vision lead with 10 years of experience building and deploying ML systems across industry and robotics, currently leading CV efforts at Tinkoff. He has hands-on expertise in lightweight models and edge deployments (TFLite, OpenVINO, ONNX) for constrained hardware like Google Coral and Intel Myriad, and a background in optical flow, unsupervised visual odometry, and image/video quality assessment. Ruslan pairs research rigor from physics and IT project management with practical engineering—he’s produced a Python package (nnio) to simplify inference on embedded devices and has worked with ROS2 and Kalman filters for robotic applications. He’s also taught ML adoption to enterprise teams and previously applied sequence models and NER in NLP, showing a rare blend of research, product-focused engineering, and mentoring.
10 years of coding experience
5 years of employment as a software developer
Степень бакалавра, Physics, Степень бакалавра, Physics at Московский Государственный Университет им. М.В. Ломоносова (МГУ)Магистр, Information Technology Project Management, Магистр, Information Technology Project Management at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
Github Skills (71)
python10
diffusion-models10
game-development10
data-driven10
computer-vision10
nlp10
rust10
game-engine9
sdk9
generative-ai9
ai9
recommendation-system9
transformers9
deep-learning9
scientific-computing9
Programming languages (4)
Github contributions (5)
FastSense/nnio
Jan 2021 - Dec 2021
Neural network inference on accelerators simplified
Contributions:7 releases, 132 commits, 38 PRs in 10 months
deep-learninginferenceneural-networksmachine-learningsimplified
hocop/Better_color_detection_for_OpenCV
Dec 2017 - Dec 2019
Contributions:28 commits, 23 pushes, 1 branch in 2 years
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