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  • IIT Madras
  • Chennai, India

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Utkarsh-Sinha0/README.md

Utkarsh Sinha

BCA graduate (2025) · BS in Data Science student at IIT Madras

Open-source contributor · Bug hunter · Responsible disclosure

I build trustworthy AI systems, reproducible research tooling, and practical developer products. My work sits where applied machine learning meets systems engineering: clear contracts, bounded automation, human review, and evidence that another person can inspect.

Selected work

  • ReproLearn — Privacy-first, claim-level research reproducibility with papers, code, data, validators, and receiver reruns as inspectable evidence.
  • SciBoat — Rust-backed scientific continuity for preservation, reviewed execution, deterministic validation, and receiver-attested replay.
  • AgriMesh / AgentAgri — Evidence-based agricultural decision support across crop health, weather, markets, schemes, finance, and farmer-owned memory.
  • SnapVault / SNAPV — Local-first, deterministic screenshot exports for Chrome, Firefox, and Edge, backed by packaging and browser E2E checks.
  • AXIOM Urban — Traffic-corridor analysis that combines FastAPI workflows, a gRPC simulation engine, and implementation-ready reports.
  • NeuroGolf 2026 — Compact ONNX solvers and reproducible experiments for ARC-AGI-style visual transformations.

What I bring

  • Evidence-first product and research engineering
  • Open-source contribution and responsible bug hunting
  • Applied AI and agent orchestration with explicit safety boundaries
  • Python, TypeScript, Rust, React, FastAPI, Docker, PostgreSQL, ONNX, and GitHub Actions
  • End-to-end validation across APIs, browser flows, accessibility, containers, and CI

Working principles

  • Claims should point to code, tests, or a clearly stated gap.
  • Models can propose; deterministic systems and people make the authoritative decisions.
  • Public work should be easy to run, inspect, and extend.

Current direction

I am looking for research engineering, developer-tools, applied-AI, and data-science opportunities where careful execution matters. I am also open to thoughtful collaborations with students, researchers, and open-source maintainers.

Research reproducibility · Scientific continuity · Decision support · Developer products

Popular repositories Loading

  1. ReproLearn ReproLearn Public

    Privacy-first, claim-level research reproducibility with inspectable evidence chains and receiver reruns.

    JavaScript 4

  2. AXIOM AXIOM Public

    Axiom Urban: traffic-corridor analysis combining FastAPI workflows, gRPC simulation, and implementation-ready reports.

    Python 1

  3. polars polars Public

    Forked from pola-rs/polars

    Extremely fast Query Engine for DataFrames, written in Rust

    Rust

  4. SNAPV SNAPV Public

    SnapVault: local-first, deterministic screenshot exports for Chrome, Firefox, and Edge with browser E2E validation.

    TypeScript

  5. AgentAgri AgentAgri Public

    AgriMesh: evidence-based agricultural decision support for crop, weather, market, scheme, finance, and farmer-memory workflows.

    Python

  6. memanto memanto Public

    Forked from moorcheh-ai/memanto

    Memory that AI Agents Love!

    Python