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nitinog10/README.md

Nitin K. Mishra

AI Engineer · GenAI Architect · Software Developer

class Nitin:
    def build(self, problem: Messy) -> System:
        return retrieve(problem) | reason() | ship()   # no demos. production.

I build the layer between a model and something people can actually use. retrieval that returns the right chunk, agents that know when to stop, models tuned for the job.


01  RAG & Agents hybrid retrieval · multi-agent orchestration · guardrails that fail loudly
02  MCP Servers custom tools & connectors · giving models real hands
03  LLM Fine-Tuning LoRA/PEFT · domain adaptation · evals, not vibes
04  Computer Vision detection · OCR pipelines · vision + language systems
05  Voice AI streaming STT → LLM → TTS · sub-second turn-taking
06  Full-Stack the API, the pipeline, the interface — shipped end to end

nitin.vision · LinkedIn · Email

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  1. MCP-server-setup MCP-server-setup Public

    A complete MCP server setup all databases.

    Python 5 2

  2. AtmoPredict AtmoPredict Public

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  3. Transformer-model-from-scratch-using-keras-hub-to-perform-language-modeling. Transformer-model-from-scratch-using-keras-hub-to-perform-language-modeling. Public

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  5. Campus-mitra Campus-mitra Public

    A language agnoistic RAG base applications for universities during admission and stuff.

    JavaScript 1 1

  6. Train-a-miniGPT-language-model-using-JAX-AI-Stack. Train-a-miniGPT-language-model-using-JAX-AI-Stack. Public

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