Aryan Rajoria
Engineer, Senior at Qualcomm
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAryan Rajoria is an open-source-focused security engineer and developer with six years of experience integrating security into the software lifecycle, CI/CD pipelines, and cloud-native deployments. Currently pursuing an MS in Cybersecurity at Georgia Tech, he blends hands-on engineering—containerization, IaC, and IAM hardening—with research-driven tooling, having led OWASP projects like dep-scan and blint (NLNET grant recipient) to improve supply-chain and binary analysis. He has operationalized security in Azure environments, eliminating static credentials via passwordless DB access and remediating high-risk JWT flaws with hardened validation and tests. An active contributor to projects such as Georgia Tech’s EVA DB (improving docs, tutorials, and notebooks), he favors practical, developer-friendly solutions that reduce attack surface and friction. Notably, he builds tools that produce machine- and human-readable SBOMs (CycloneDX/CDXGEN) and embed security into developer workflows rather than treating it as an afterthought.
6 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Bennett UniversityMaster of Science - MS, Computer and Information Systems Security/Information Assurance, Master of Science - MS, Computer and Information Systems Security/Information Assurance at Georgia Institute of Technology
Github Skills (10)
jupyter-notebook10
python10
documentation10
sphinx9
object-detection9
api-documentation9
computer-vision8
data-analysis8
ai7
llm7
Programming languages (7)
Github contributions (5)
georgia-tech-db/evadb
Sep 2022 - Jan 2023
Database system for AI-powered apps
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:23 reviews, 13 commits, 51 PRs in 3 months
Contributions summary:Aryan primarily focused on enhancing the documentation of the EVA project, including the addition of tutorials, API documentation, and overall layout improvements. They integrated necessary libraries like sphinx_design and myst_nb to support the documentation's features. Furthermore, the user updated tutorial notebooks and incorporated features such as object detection and sentiment analysis, adding Colab links for easy access.
aidatabaseevavideo-analyticsserving
Aryan-Rajoria/eva-ls-ml
Oct 2022 - Feb 2023
Label Studio ML backend, made using EVA Database
Contributions:23 commits, 2 PRs, 20 pushes in 3 months
backenddatabaselabel-studiomachine-learning
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