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B.Tech CSE (AI & Data Science) ยท Nxtwave Institute, Pune ยท India ๐Ÿ‡ฎ๐Ÿ‡ณ


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โšก Who Am I

harshit = {
    "role"       : "AI Safety Engineer | Applied AI Systems",
    "focus"      : ["Agentic AI", "Multi-agent Orchestration", "AI Evaluation", "On-device ML"],
    "building"   : ["AIOS"],
    "researching": ["PTF โ€” Agentic AI Failure Study (SSRN)", "Genesis Lock โ€” Blockchain AI Governance"],
    "philosophy" : "From math โ†’ production. No API wrappers, no shortcuts.",
    "location"   : "India ๐Ÿ‡ฎ๐Ÿ‡ณ โ€” India-first deployment always.",
}

๐Ÿ”ฌ Research In Progress

๐Ÿ“„ PTF โ€” Protection Toward Future

Empirical study of an agentic AI failure incident

An investigation into a real multi-agent system failure โ€” root cause analysis, failure cascade mapping, and safety mitigations. Submitted to SSRN.

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6472278

#AISafety #AgenticAI #FailureAnalysis


๐Ÿš€ What I'm Building Right Now

Project What Status

| ๐Ÿ–ฅ๏ธ AIOS | Local offline AI desktop assistant + AI-Native Operating Environment โ€” zero cloud dependency | โœ… Live |


๐Ÿ† Highlight Reel

Project Signal
โšก Anthropic Performance Challenge 10.2ร— kernel speedup on Anthropic's real hiring take-home. VLIW cycles: 147K โ†’ 14K
๐Ÿง  micrograd-JAX Rebuilt Karpathy's autograd in JAX โ€” grad, jit, vmap, XLA-compiled, GPU-ready
๐Ÿ–ฅ๏ธ AIOS Local AI desktop assistant. Ollama-powered. Built before on-device AI was a trend
๐Ÿ“š ML Fundamentals 19 notebooks โ€” every core ML algorithm from scratch in NumPy. #100DaysOfML
๐Ÿญ CodeAlpha ML Internship Production ML: credit scoring, image recognition, disease prediction, speech emotion

๐Ÿ› ๏ธ Stack

Languages

Python C++ SQL

AI / ML

JAX PyTorch TensorFlow scikit-learn NumPy Ollama

Tools & Infra

VS Code Google Colab Git AWS n8n FAISS


๐Ÿ“Š GitHub Stats

GitHub Streak


๐Ÿ Contribution Snake

github contribution grid snake animation

๐Ÿ’ฌ Let's Connect

I'm actively looking for ML Engineer / Applied AI / AI Safety / AI Systems roles โ€” remote globally or India-based.

If you're building in agentic AI, multilingual NLP, on-device inference, or AI safety โ€” let's talk.

LinkedIn Email


"Build from first principles. Ship to production. Leave the APIs for later."

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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 1

  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

  4. Aios Aios Public

    AI-Native Operating Environment โ€” Linux-based OS with Rust kernel modules and Python AI/ML runtime. Local LLMs, multi-agent orchestration, and intent-driven computing, all on-device.

    Python 26 5

  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