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harshitgavita-07/README.md

Gavita Harshit

AI systems, agents and developer tooling. 19, B.Tech CSE (AI & Data Science) student in Pune, India. Open to work.

I fix real bugs in AI-agent and developer tooling, then write down what I verified and what I did not.

LinkedIn | Email | GitHub


Projects

Project What it is Honest status
AIOS Python core that turns a goal into a plan, runs it, and verifies the result. File and directory checks look at the real disk instead of trusting the agent's report. Run python examples/verified_delegation.py to see an agent's false "done" get caught. Early beta. Real execution covers terminal steps only. No CI yet. The desktop app is not fully tested.
Anthropic performance take-home My solution to Anthropic's public kernel-optimization take-home: about 147K down to about 14.4K simulated cycles (10.2x) Did not reach the benchmark's tighter cycle thresholds; the repo says so
micrograd-JAX Karpathy's micrograd idea rebuilt with JAX transforms (grad, jit, vmap) as a learning project Fork of the original, my JAX version is in the notebook
ML Fundamentals 19 notebooks on core ML algorithms Learning notes, not a library
agent-canvas Typed Python DSL for visual lessons, with a test suite (312 tests passed in local verification; requires Python 3.12+) Locally verified; not a deployment claim

Open source contributions

Merged

Fixes adopted or credited by maintainers

  • gstack #3001 and #2997: incorporated into the maintainer's merged PR #3013
  • AlphaFold 3: invalid chain IDs passed validation and failed later; the maintainer commit credits the report

Open for review

Tally: 34 pull requests opened in other people's repositories as of 6 Oct 2026 (full list): 4 merged, 20 open, 10 closed without merge (including the 2 gstack PRs whose fixes were incorporated). Forks and my own repos are not counted. Snapshot updated by hand.


Research

PTF: Protection Toward Future. An empirical incident study of autonomous AI agent behaviour on a personal workstation, with a proposal for infrastructure-level safety architecture. Read it on SSRN.


Activity

Contribution graph


Let's talk

I'm looking for full-time or internship roles in AI systems, agents and developer tooling, remote or India-based. I'm a student, and I'm flexible about how the right role fits around my degree.

Reach me on LinkedIn or email.

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  1. ML_fundamentals ML_fundamentals Public

    A comprehensive guide to machine learning fundamentals including algorithms, data preprocessing, model evaluation, and practical implementations.

    Jupyter Notebook 2

  2. Anthropic_challenge-my-solution- Anthropic_challenge-my-solution- Public

    Python

  3. micrograd_JAX micrograd_JAX Public

    Forked from karpathy/micrograd

    Micrograd rebuilt with JAX - a minimal autograd engine using JAX transformations (grad, jit, vmap) for modern autodiff and accelerator-ready execution

    Jupyter Notebook 1 1

  4. Aios Aios Public

    AIOS is an open-source AI orchestration framework for building reliable digital coworkers. It converts natural language into structured execution plans, executes them through runtime adapters like …

    Python 27 3

  5. paygate paygate Public

    Forked from dhruvxop19/paygate

    Cross-chain payment layer implementing HTTP 402 for AI Agent-ready API monetization with instant on-chain settlements

    TypeScript

  6. SCR SCR Public

    Universal execution runtime built on Playwright. Features distributed worker pools, real-time observation, action verification, and cross-platform automation (Web/Desktop/Mobile).

    TypeScript