Rasim Akhunzyanov
Senior Computer Vision Software Engineer At Autonomous Vehicles Team at Yandex
Belgrade, Central Serbia
Summary
👤
Senior🎓
Top SchoolRasim Akhunzyanov is a Senior Computer Vision Software Engineer with 11 years of experience, currently working on 3D reconstruction for dynamic scenes within Yandex’s Autonomous Vehicles team. He combines deep expertise in computational photography, camera-lidar calibration, and HD map generation with strong C++ and GPU-accelerated implementation skills honed at LG and Intel Labs. His open-source contributions include enhancing the popular HDR+ project by adding raw image support, a DNG converter, and improved dataset handling—showing a practical focus on bridging research and production. Based in Belgrade, he has repeatedly moved ideas from prototype to real-time systems, from mobile depth fusion to production-grade autonomous perception. Colleagues describe him as a solver who favors robust, optimized pipelines over toy models, with a track record of shipping applied CV features that scale.
11 years of coding experience
10 years of employment as a software developer
Bachelor of technology Computers Computer Systems and Networks, Bachelor of technology Computers Computer Systems and Networks at Izhevsk State Technical University (ISTU)Master of Technology (M.Tech.) Embedded System Design, Master of Technology (M.Tech.) Embedded System Design at ITMO University
Английский
Stackoverflow
1,286reputation
153kreached
30answers
3questions
opencv
top-5%
Github Skills (14)
c-language10
cprogramming-language10
halide9
opencv9
cmake8
computer-vision7
corner-detection6
camera6
shell6
linux6
bash6
histogram6
feature-detection6
image-processing6
Programming languages (5)
Github contributions (5)
timothybrooks/hdr-plus
Mar 2019 - Mar 2020
Role in this project:
Back-end Developer
Back-end DeveloperContributions:28 commits, 9 PRs, 43 comments in 11 months
Contributions summary:Rasim implemented raw image input using libraw, integrating functionality to handle raw image formats. They created a DNG converter using LibRaw, enabling the conversion of raw images to the DNG format. The user also refactored and added support for the black level in the HDR+ dataset. Furthermore, they added orientation tags, arbitrary CCM and CFA support.
data-storagessimhdr
brotherofken/national_data_science_bowl_2
Dec 2015 - Mar 2016
Contributions:68 commits, 5 pushes, 1 branch in 2 months
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