Tony Cebzanov
Pittsburgh, Pennsylvania, United States
Summary
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RockstarTony Cebzanov is an engineering executive operating at CTO scope with 12 years of hands-on experience delivering backend systems and technical due diligence for growth-stage funding (including a $13M Series review). Based in Pittsburgh, he blends strategic leadership with active coding chops, contributing to well-regarded open-source projects like the Urwid console UI library and the PySceneDetect video segmentation tool. His open-source work includes adding true color support and improving text rendering and widget behavior in Urwid, plus practical CLI and video-processing enhancements in PySceneDetect that reflect a pragmatic focus on usability and robustness. Tony is comfortable bridging product and engineering, translating high-level requirements into auditable technical decisions and shipping reliable tooling. Colleagues rely on him for rigorous architecture reviews and for mentoring teams to raise code quality and operational maturity. He brings a quietly thorough approach—equally at home in deep code fixes and board-level technical strategy.
12 years of coding experience
Github Skills (10)
video-processing10
cli10
command-line-interface10
opencv10
python10
image-processing10
command-line10
text-rendering10
documentation9
numpy5
Programming languages (17)
Github contributions (5)
urwid/urwid
Jun 2014 - Sep 2021
Console user interface library for Python (official repo)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:74 commits, 34 PRs, 49 pushes in 7 years 4 months
Contributions summary:Tony contributed to the Urwid console user interface library by implementing and improving functionality related to text rendering and widget behavior. They implemented true color support, allowing for 24-bit color representation using hex codes. Additionally, the user modified and enhanced the `MonitoredList` class and its derivatives, particularly in relation to sorting and focus handling, to improve the efficiency and flexibility of the library. Further work included updating and expanding documentation.
user-interfacepythonconsole
Breakthrough/PySceneDetect
Nov 2019 - Nov 2019
:movie_camera: Python and OpenCV-based scene cut/transition detection program & library.
Role in this project:Back-end Developer
Back-end DeveloperContributions:7 commits, 5 PRs, 14 comments in 19 days
Contributions summary:Tony primarily contributed to the Python and OpenCV-based scene detection library by implementing and refining command-line interface (CLI) options. Their work includes adding the `--min-duration` and `--drop-short-scenes` options for scene merging and dropping functionality, which enhanced the library's video processing capabilities. They also improved the image saving functionality, adding features such as `--image-frame-margin` and fixing an index error, streamlining the image generation process. The user's contributions also reflect their work in the library's core CLI and context modules.
scene-recognitionpythoncameraanalysismovie
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