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  • Seattle, WA
  • 23:14 (UTC -07:00)

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kishuxz/README.md

Kishore Kumar

I build reliable AI systems across agents, voice, evaluation, and full-stack product engineering. I like product work where the interesting part is making AI-generated behavior observable, verifiable, and safe to ship. Based in Seattle, I enjoy early-stage startup pace and ownership.

Building & Exploring

  • agent workflows with explicit specs, provenance, and verification
  • real-time voice systems, speaker attribution, and conversational interfaces
  • evaluation harnesses that test AI behavior beyond demo cases
  • full-stack products with Python, TypeScript, FastAPI, React, and PostgreSQL
  • cloud infrastructure, observability, and failure recovery
  • open-source tools for persistent context and human-AI collaboration

Currently exploring open-source tools for persistent context and human-AI collaboration.

Selected work: Provenance Guard · Speaker Attribution · EchoPersona

Pinned Loading

  1. sre-spec sre-spec Public

    Checkpoint: typed specs and CI gates that hold destructive agent actions before side effects run.

    TypeScript

  2. provenance-guard provenance-guard Public

    Inline provenance enforcement and lineage graphs for reliable AI agents—block invalid evidence, refuse unsupported claims, and explain every verdict.

    TypeScript

  3. evidence-ops evidence-ops Public

    Evidence-driven legal AI prototype with temporal provenance graphs, citation verification, review workflows, and offline evaluations.

    TypeScript 1

  4. wherewasi wherewasi Public

    Save and restore your mental context across interruptions. Captures why you had those files open, not just which ones.

    TypeScript

  5. speaker-attribution-video speaker-attribution-video Public

    Speaker Attribution Graph: production-shaped framework for tracing audio, transcript, and optional video evidence into speaker-attribution decisions.

    Python

  6. openloop-bench openloop-bench Public

    Benchmark and corpus for extracting open commitments from founder messaging, with deterministic evaluation and a public results browser.

    TypeScript