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Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: Pair Extraordinairex2Achievement: StarstruckAchievement: YOLO

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Organizations

@OpenAgentHQ @TripG-App

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himanshu231204/README.md

Himanshu Kumar — AI Engineer at Britcore.ai, Founder of OpenAgentHQ. Building agentic systems, LLM infrastructure and developer tools.

Portfolio LinkedIn X Email Profile views GitHub followers

whoami --verbose. Role: AI Engineer at Britcore.ai. OSS: Founder, OpenAgentHQ. Focus: agentic systems, LLM infrastructure, RAG, devtools. Ships eval frameworks, model runtimes and CLIs published to PyPI. Portfolio: himanshu231204.vercel.app. Email: himanshu231204@gmail.com.

cat stack.txt. Languages: Python, TypeScript, SQL. AI/ML: PyTorch, LangChain, LangGraph, Hugging Face, OpenAI, Anthropic, Ollama. Infra: FastAPI, Docker, Redis, ChromaDB, GitHub Actions. Tooling: Git, Linux, pytest, MCP.

ls -la ~/projects. openagent-eval: RAG and agent evaluation, 18+ metrics, CLI and SDK. modeldock: local LLM manager with pluggable runtime adapters. run-git: PyPI CLI for git workflows in a single command. mcp-web-search: production MCP server for search and page extraction. ai-comment-copilot: chrome extension with LangGraph multi-agent flows. ai-news-intelligence: agent monitoring high-signal AI research.

openagent-eval modeldock run-git mcp-web-search linkedin-ai-comment-copilot ai-news-intelligence All repositories

git log --author=himanshu231204 --oneline. langchain-ai/openwiki: connector features, error handling, workflow preservation. OpenAgentHQ/openagent-eval: 13+ merged PRs, review workflows, tests, releases. OpenAgentHQ/modeldock: LM Studio runtime adapter, CI/CD fixes. himanshu231204/avenx-js: compiler documentation.

langchain-ai/openwiki OpenAgentHQ/openagent-eval OpenAgentHQ/modeldock avenx-js

man himanshu — long-form engineering references, written for practitioners. system-design-fundamentals: 16 runnable demos plus a RAG API across 6 scaling stages. prompt-engineering-mastery: 7 modules on reasoning, RAG, security, evaluation. PyTorch-Mastery: tensors and autograd through LLM fine-tuning. ml-mastery: algorithms, notebooks and reference guides. dl-mastery: math-first deep learning from derivations to code.

system-design-fundamentals prompt-engineering-mastery PyTorch-Mastery ml-mastery dl-mastery

GitHub streak stats

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echo $STATUS — open to collaboration on agentic systems, LLM infrastructure, and devtools.

Plain text version

Himanshu Kumar — AI Engineer at Britcore.ai · Founder, OpenAgentHQ · Open Source Contributor. Building agentic systems, LLM infrastructure, and developer tools.

  • Focus: agentic systems · LLM infrastructure · RAG · developer tooling
  • Stack: Python, TypeScript, SQL · PyTorch, LangChain, LangGraph, Hugging Face, OpenAI, Anthropic, Ollama · FastAPI, Docker, Redis, ChromaDB, GitHub Actions
  • Portfolio: himanshu231204.vercel.app · Email: himanshu231204@gmail.com

Projects

Project Description
openagent-eval RAG and agent evaluation framework — 18+ metrics, CLI and SDK
modeldock Local LLM model manager with pluggable runtime adapters
run-git PyPI-published CLI for common Git workflows
mcp-web-search Production MCP server for web search and page extraction
linkedin-ai-comment-copilot Chrome extension using LangGraph multi-agent workflows
ai-news-intelligence Agent that monitors high-signal AI research

Open source contributions

Repository Contributions
langchain-ai/openwiki Connector features, error handling, workflow preservation
OpenAgentHQ/openagent-eval 13+ merged pull requests — review workflows, tests, releases
OpenAgentHQ/modeldock LM Studio runtime adapter, CI/CD fixes
avenx-js Compiler documentation

Technical writing

Repository Description
system-design-fundamentals 16 runnable demos plus a RAG API across six scaling stages
prompt-engineering-mastery 7 modules — reasoning, RAG, security, evaluation
PyTorch-Mastery Tensors and autograd through LLM fine-tuning
ml-mastery Algorithms, notebooks, and reference guides
dl-mastery Math-first deep learning, derivations to code

Pinned Loading

  1. AutoML-Studio-Pro- AutoML-Studio-Pro- Public

    AutoML Studio Pro is an interactive, browser-based platform that automates the complete machine learning workflow—from data upload and exploratory analysis to model training, evaluation, and predic…

    Python 4

  2. ai-commit ai-commit Public

    🤖 Generate intelligent git commit messages using local Ollama AI models. Free, private, and works offline!

    Python 7 2

  3. auto-eda-toolkit auto-eda-toolkit Public

    Automated EDA toolkit that handles 90-95% of exploratory data analysis. Just upload your dataset and get comprehensive insights instantly!

    Python 3

  4. langchain-playground--for-llms- langchain-playground--for-llms- Public

    A personal learning space for LangChain, featuring code snippets, notes, and mini-projects to explore LLM integrations. Ideal for beginners aiming to learn quickly through structured examples.

    Python 6

  5. run-git run-git Public

    run-git is a lightweight Python CLI tool designed to simplify and automate common Git workflows. It allows developers to quickly stage, commit, and push code using a single command, reducing repeti…

    Python 16 3

  6. ragnova-rag-chatbot ragnova-rag-chatbot Public

    🔍 End-to-end RAG (Retrieval-Augmented Generation) pipeline built with LangChain, ChromaDB & Sentence Transformers — ingest PDFs, generate embeddings, and build a semantic search knowledge base for …

    Jupyter Notebook 3 1