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vamsi-venkatesh/README.md

Vamsi Venkatesh

AI Systems & Product Engineer

I build agent-driven products and evaluation systems, with deterministic checks, isolated execution and evidence that can be inspected.

  • UnboundPDF — selected runnable source and verification for browser-local PDF processing; the complete production product remains private.
  • VVDex Forge proof — evaluation methodology, certification receipts and verified reports. The reusable evaluation engine and exams remain private.
  • Annotation evidence — five certified fixtures covering robotic video, images, text, structured data and audio; certification evidence, not model performance claims.
  • Label Studio SDK contribution — WebP support for brush-to-COCO export, with regression tests; pull request open for review.
  • Prime contribution — a public software-repair environment for an upstream xmltodict defect; pull request open for review.
  • Portfolio — products, architecture and engineering case studies.

Selected collaborations

I take on ambitious agent-product, evaluation and integration work where the outcome matters more than a menu of hours or commodity deliverables. Engagements are scoped around the product, evidence standard and business value.

Explore Forge · Get in touch

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  1. unboundpdf unboundpdf Public

    Selected runnable source and verifiable browser-local proof from UnboundPDF. Three tools public; the full product remains private.

    JavaScript

  2. vvdex-forge-proof vvdex-forge-proof Public

    Sealed evidence for VVDex Forge: certification receipts, record digests and campaign reports for five certified agent evaluation environments. Proof, not exams.

    HTML