Edgar K
Graduate Research Assistant
City of Binghamton, New York, United States
Summary
👤
Senior🎓
Top SchoolEdgar K is a PhD candidate and graduate research assistant in computer vision specializing in media forensics, adversarial ML, and content authenticity, with 11 years of engineering experience and 14 peer-reviewed publications (200+ citations, 2 Best Paper Awards). He builds production-quality deep learning pipelines—optimizing distributed training across 7 GPUs, managing 100+ experiment configs, and open-sourcing reproducible implementations used by others. His work spans academia and industry, including applied-science roles at Reality Defender and Huawei where he benchmarked inpainting detectors and developed physical adversarial attacks with high evasion rates. Edgar also contributes to low-level tooling—improving strace’s V4L2 decoding and refactoring its codebase—demonstrating breadth from embedded systems to large-scale ML. Graduating Summer 2026, he’s seeking Applied Scientist or Computer Vision Engineer roles focused on AI security, media forensics, and content authenticity.
11 years of coding experience
1 year of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at Skolkovo Institute of Science and TechnologyDoctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Thomas J. Watson College of Engineering and Applied Science, Binghamton UniversityMaster of Science - MS Applied Mathematics and Physics, Master of Science - MS Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Русский, English, German
Github Skills (7)
debugging10
video4linux10
system-calls10
debug10
ioctl10
c-programming10
sys10
Programming languages (5)
Github contributions (5)
strace/strace
Apr 2017 - Aug 2017
strace is a diagnostic, debugging and instructional userspace utility for Linux
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits in 4 months
Contributions summary:Edgar primarily contributed to improving the strace tool's ability to decode Video4Linux (V4L2) system calls, specifically related to video capture and output formats. Their work included adding new functions and implementing decoding for remaining V4L2 buffer types, enhancing the tool's diagnostic capabilities. The user added new decoding functionality for VIDIOC_G/S_TUNER ioctl calls and checked the decoding of the argument for these system calls, adding relevant information to the strace output. Furthermore, the user refactored and reorganized the codebase by moving utility functions, such as memory allocation and string conversion functions, into separate files to improve maintainability.
userspacestracelinuxdiagnosticdebugging
edosedgar/mtcnnattack
Oct 2019 - May 2021
Contributions:8 commits, 7 pushes, 1 branch in 1 year 7 months
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