Swarup Sahoo
Software Compiler Architect at Agrani Labs
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSwarup Sahoo is a software compiler architect and founder with 12+ years blending ML research, compilers, and cloud-native security engineering from academia to Silicon Valley startups. He co-founded Deepfence and led development of open-source tools like SecretScanner and ThreatMapper to detect secrets and multi-stage attacks in containerized workloads, work recognized by Gartner and adopted by Fortune 500s. His background includes postdoctoral security research at CMU and compiler/Machine Learning optimization at Qualcomm, where he improved performance for LLMs and MoE models through kernel and graph-level work. Known for shipping pragmatic, production-grade tooling, he bridges deep systems research with hands-on engineering—from low-level exploit mitigations to serverless workload protection. Based in San Francisco, he holds a PhD from UIUC (4.0 GPA) and often revisits hardware+software tradeoffs—recently reflecting that WASM+TEE might now outshine earlier MPX/SGX experiments.
12 years of coding experience
19 years of employment as a software developer
B.E., Computer Sc and Engg., B.E., Computer Sc and Engg. at National Institute of Technology, TrichyUniversity of Illinois Urbana-ChampaignMaster of Science (M.S.), Computer Science, 4.0/4.0, Master of Science (M.S.), Computer Science, 4.0/4.0 at The Ohio State University+2, Science, +2, Science at BJB College, Bhubaneswar
Github Skills (10)
secret-management10
json10
secrets-manager10
go10
secrets10
security10
devsecops9
container9
docker8
dockers8
Programming languages (4)
Github contributions (5)
deepfence/SecretScanner
Feb 2021 - Feb 2021
:unlock: :unlock: Find secrets and passwords in container images and file systems :unlock: :unlock:
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 22 commits, 2 PRs in 16 days
Contributions summary:Swarup primarily focused on enhancing the secret scanner's functionality and improving the output format. They refactored code related to image scanning to encapsulate functions and added features like maximum secret limits. Significant changes included modifying the output structure by updating JSON field names, adding matched contents, and incorporating colored output for secret findings. The user also made changes to the logging and debugging messages within the code.
secrets-detectionsecret-keyssecrets-managementvulnerability-scannerssecurity-tools
deepfence/deepfence_runtime_api
Apr 2021 - Jun 2021
Deepfence Runtime API & code samples
Contributions:11 commits, 9 pushes in 1 month
vulnerability-managementruntimedeepfencesecurity-scannerjenkins
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