Ali Aliev
CEO & Founder at Avatarify, Inc.
Serbia
Summary
🤩
Rockstar🎓
Top SchoolAli Aliev is a founder-engineer with 12 years of experience building AI-powered graphics and vision systems, currently leading Avatarify as CEO and Founder from Serbia. He blends deep research experience—having led neural point-based graphics at Samsung AI Center—with hands-on product work, from virtual camera integrations to install scripts in popular Avatarify repos. His background spans applied computer vision for agriculture, automotive ADAS development, and realtime previsualization tools for film production, reflecting a rare mix of research rigor and production engineering. Comfortable across full-stack and systems-level tasks, he has repeatedly taken prototypes into deployable systems that interact with hardware and video pipelines. He holds an Engineer’s degree in particle accelerator physics from MEPhI, bringing a strong physics-and-math grounding to ML and graphics problems. Peers would note his knack for bridging low-level device integration with cutting-edge neural rendering in consumer-facing applications.
12 years of coding experience
6 years of employment as a software developer
Engineer's Degree, Particle accelerator physics, Honors Diploma, Engineer's Degree, Particle accelerator physics, Honors Diploma at National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Английский, Русский
Github Skills (12)
bash10
ffmpeg10
python10
scripting9
linux9
video-streaming9
shell9
script9
sh9
computer-vision9
automations8
automation8
Programming languages (8)
Github contributions (5)
alievk/avatarify-python
Apr 2020 - Apr 2021
Avatars for Zoom, Skype and other video-conferencing apps.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:2 releases, 311 commits, 45 PRs in 1 year
Contributions summary:Ali primarily worked on modifying the `run.sh` script to integrate and configure virtual camera functionality for the Avatarify application. They updated the script to utilize `ffmpeg` and `v4l2loopback` for video streaming, including adding pixel format and virtual camera ID parameters. Additionally, the user made changes to the `install.sh` script, installing and configuring the `v4l2loopback` kernel module. The user also added a `camera_selector.py` script and other updates.
avatarsskypevideo-conferencingvideoconferencing
alievk/MicroWave
Feb 2015 - Apr 2015
Contributions:19 commits, 13 pushes, 2 branches in 1 month
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