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Achievement: YOLOAchievement: Pull Shark

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Achievement: YOLOAchievement: Pull Shark

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Manitchahar/README.md

Manit Kumar

GenAI / LLM Engineer building practical AI systems with Python, TypeScript, RAG, AI agents, ServiceNow automation, and cloud AI platforms.

I like turning rough AI ideas into working tools: agentic workflows, retrieval systems, document intelligence, CLI operators, and automation that helps support and engineering teams move faster.

What I Work On

  • LLM applications with RAG, semantic search, tool calling, and agent orchestration
  • Python/FastAPI services, TypeScript tooling, Telegram/CLI automation, and production-ready APIs
  • ServiceNow and ITSM automation, incident analytics, SOP generation, and operational intelligence
  • OCR/document AI workflows, including human-in-the-loop review for sensitive outputs
  • Cloud AI experiments across Azure OpenAI, Google Vertex AI, AWS, and local model tooling

Selected Work

Project What it shows
gemini-claw Telegram-native Gemini CLI operator with private allowlisted chats, task workers, session continuity, stream-JSON parsing, and safety controls.
jules-foreman TypeScript CLI for delegating local coding tasks to multiple Jules sessions with candidate racing and local arbitration.
GLM-OCR contribution Merged open-source fix to a 6k+ star OCR project: layout config id2label support, safer missing mapping behavior, and unit tests.
PDF-Extract TypeScript utility work around large PDF splitting/extraction workflows.
LLama-rag-chat Retrieval-augmented chat experiments with local/LLM-backed document search.
EduGenie Personalized learning / AI tutor experiments with lesson and quiz generation ideas.

Core Stack

  • Languages: Python, TypeScript, JavaScript, SQL
  • AI/LLM: RAG, agents, MCP, LangChain, embeddings, vector search, prompt engineering, OCR/document AI
  • Backend: FastAPI, REST APIs, Pydantic, Node.js, Docker, PostgreSQL/pgvector
  • Cloud/Platforms: Azure OpenAI, Azure AI Foundry, Google Vertex AI, AWS EC2/S3, ServiceNow
  • Data/ML: BERTopic, clustering, semantic search, ChromaDB, FAISS, notebooks, operational analytics

Current Focus

  • Turning useful experiments into cleaner projects with stronger READMEs, tests, and reproducible setup
  • Improving practical AI workflows for incident intelligence, document processing, and developer automation
  • Contributing small, useful fixes to open-source AI/OCR tooling

Open Source

  • Merged contributor to zai-org/GLM-OCR, improving layout configuration handling and test coverage.

Reach Me

Focused on useful AI systems, clean developer workflows, and practical automation.

Popular repositories Loading

  1. gemini-claw gemini-claw Public

    Telegram-native Gemini CLI operator with private allowlisted chats, background workers, session continuity, and stream-JSON parsing.

    TypeScript 12 2

  2. llmops-chatgpt-huggingface llmops-chatgpt-huggingface Public

    Forked from manifoldailearning/llmops-chatgpt-huggingface

    Jupyter Notebook

  3. LLama-rag-chat LLama-rag-chat Public

    RAG chat experiments with LLM-backed retrieval, embeddings, and document search.

    Python

  4. chatbot chatbot Public

    Python chatbot experiments with Llama-style local LLM workflows.

    Python

  5. FastTweet FastTweet Public

    Python experiments around fast tweet/post generation workflows.

    Python

  6. EduGenie EduGenie Public

    AI tutor experiments for personalized lessons, quiz generation, and retrieval-assisted learning workflows.

    Jupyter Notebook