Omar Bheda
Growth at Monad Foundation
New York, United States
Summary
🤩
Rockstar🎓
Top SchoolOmar Bheda is a CorpSec Lead and offensive security consultant based in New York with eight years of hands-on experience in penetration testing, OSINT research, and automation-driven testing frameworks. He has held security roles at Coinbase and Cylance and recently led growth before moving into corporate security at Monad, blending technical depth with business-minded execution. Omar builds tooling to scale assessments — notably contributing to GitDorker, enhancing its scraping robustness, token handling, and filtering to surface exposed secrets across GitHub. A quick learner and self-starter, he moves ideas from concept to production rapidly, prioritizing pragmatic solutions that drive measurable security value. His background in Management Information Systems informs a practical approach to risk management and secure engineering. Colleagues rely on him for creative reconnaissance techniques and reliable automation that improve assessment coverage.
8 years of coding experience
1 year of employment as a software developer
BBA Management Information Systems General, BBA Management Information Systems General at Texas McCombs School of BusinessDiploma, Diploma at Plano West Senior High School
English, Urdu, French
Github Skills (12)
apim10
audit10
api10
github-api10
auditing10
audit-logging10
python10
code-auditing10
scripting10
audit-trail10
command-line-interface9
csv8
Programming languages (4)
Github contributions (5)
obheda12/GitDorker
Jul 2020 - May 2021
A Python program to scrape secrets from GitHub through usage of a large repository of dorks.
Role in this project:
Back-end Developer & Security Engineer
Back-end Developer & Security EngineerContributions:103 commits, 6 PRs, 94 pushes in 9 months
Contributions summary:Omar primarily focused on developing and improving the `GitDorker.py` script, which scrapes secrets from GitHub. Their contributions involved updating the script's core functionality, including adding subdomain checks and output formatting. The user implemented token round-robin and input file support, added csv output and organization queries, and resolved timeout errors, which enhanced the tool's robustness. They also introduced a recently indexed sort and pattern filtering.
dorkspythonsecretsscrape
obheda12/BLMPetitionBot
Jun 2020 - Feb 2021
Contributions:12 commits, 2 pushes in 8 months
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