Senior Software Engineer at PrecisionVelocity Technologies LLC
Raleigh-Durham-Chapel Hill Area United States
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Summary
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Rockstar
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Top School
Suyash Kumar is a Staff Software Engineer and founder with 11 years of experience building scalable, production-grade systems at Google (Health/DeepMind), Uber, and several startups. He brings a rare blend of biomedical engineering and computer science expertise—double B.S.E. from Duke—applied to healthcare AI, EHR streaming, and high-performance medical imaging tooling. As a hands-on engineer and technical lead he's built end-to-end services in Go, Python, React, and Kubernetes, and led open-source healthcare projects like Google’s FHIR and bulk FHIR tools. His GitHub contributions include fixes and new ops for tensorflow/io (DICOM and genomics data) and a high-performance Go DICOM parser, reflecting deep experience in clinical data ingestion and genomics formats. He also founded Gradient Health and launched myreceipts.ai while consulting on generative AI integrations for enterprise, demonstrating both product instincts and research-led prototyping. Based in the Raleigh-Durham area, he combines academic lab experience in CRISPR/genomics with production engineering to bridge research and deployable healthcare AI.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science in Engineering (B.S.E) Biomedical Engineering and Computer Science (double major), Bachelor of Science in Engineering (B.S.E) Biomedical Engineering and Computer Science (double major) at Duke University
:lock: Simple zero-config SSL reverse proxy with real autogenerated certificates (LetsEncrypt, self-signed, provided)
Role in this project:
Back-end & DevOps Engineer
Contributions:8 releases, 4 reviews, 76 commits in 3 years 11 months
Contributions summary:Suyash primarily contributed to the core functionality of the SSL proxy, focusing on certificate generation, reverse proxy configuration, and HTTP redirection. They implemented features for generating self-signed and LetsEncrypt certificates, integrating the autocert package. The user also added forwarding headers, integrated Travis CI for automated builds, and updated dependencies to support Go modules and the latest crypto libraries. They also added features to enable HTTP redirection.
⚡High Performance DICOM Medical Image Parser in Go.
Role in this project:
Back-end Developer
Contributions:14 releases, 187 reviews, 439 commits in 3 years 4 months
Contributions summary:Suyash primarily contributed to refactoring the project's internal structure, including creating and organizing packages for frames, elements, writes, and queries. They modernized the API for extracting integer values from DICOM elements, refactoring the handling of different integer types. The user also implemented support for parsing native pixel data and handling value multiplicity, essential for processing image data. Finally, they added comprehensive benchmarks and tests for the readNativeFrames functionality, improving the reliability of the system.
medical-imageimagingdicom-imagesgomedical
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Suyash Kumar - Senior Software Engineer at PrecisionVelocity Technologies LLC