Deepak Gouda
Research Assistant at Georgia Institute of Technology
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolDeepak Gouda is a research-focused computer scientist specializing in Internet infrastructure and routing security, currently pursuing doctoral work at Georgia Tech and working as a Research Assistant on BGP, RPKI, and routing resilience. He brings nine years of technical experience that spans academic research, internships at Google and IIJ, and two years as a quantitative researcher/trader where he built high-frequency trading tools and optimized back-tests with native C extensions. Deepak’s research profiles and classifies malicious BGP hijacks, spam, and fraud traffic, and he contributed to practical tooling such as refactoring an OMR sheet evaluation system to improve image-processing reliability. Comfortable at the intersection of theory and production, he has taught advanced networking and security courses and helped specify next-generation RIB streaming during a Google internship. Based in Atlanta, he combines a strong math-and-computing foundation from IIT Guwahati with hands-on systems development to make the Internet safer and more measurable.
9 years of coding experience
Bachelor of Technology, Mathematics and Computing, Bachelor of Technology, Mathematics and Computing at Indian Institute of Technology, GuwahatiDoctor's Degree, Computer Science, Doctor's Degree, Computer Science at Georgia Institute of Technology
English, Hindi, Odia
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
computer-vision10
opencv10
python10
image-processing10
image9
numpy9
image-processor9
refactoring9
templater8
template-engine8
scanner7
Programming languages (5)
Github contributions (5)
Udayraj123/OMRChecker
Oct 2020 - Nov 2020
Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:13 reviews, 7 commits, 3 PRs in 1 month
Contributions summary:Deepak primarily focused on refactoring and improving the codebase of an OMR sheet evaluation system. They removed unused variables, added classes, and converted variable names to snake case for better code readability. The contributions involved restructuring existing image processing utilities and operations, alongside improvements to the image processing pipeline for OMR sheet analysis, including template layout and image alignment processes. The user also made changes to improve image display.
up-for-grabsmultiple-choicescannertemplatephone
deepakgouda/BlockEval
Jan 2020 - Feb 2021
Contributions:65 commits, 4 pushes in 1 year 1 month
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