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Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

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burrows99/README.md
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Raunak Burrows

I build AI-first products — LLM pipelines, RAG systems, and agent tooling that actually ship to production. I like Go backends, well-typed Python, and making models behave.

  • 🔭  Currently AI Engineer — building AIxChat, multi-step LLM orchestration over MCP with tenant isolation, on Azure.
  • 🌱  MSc AI, University of Surrey (Distinction) — dissertation cut NHS doctor wait times by 58% using a Mixture-of-Agents.
  • 💬  Ask me about LLM tooling, RAG, MCP servers, or Go microservices.
  • 🎹  Off-keyboard: chess, piano, guitar, drums, and a sketchbook.
  • 📫  Reach me → raunakburrows@gmail.com

LinkedIn  X  LeetCode  Resume

🧰 My stack

LangChain LangGraph LlamaIndex MCP Hugging Face OpenAI Ollama

📌 Things I've built

📈 GitHub contributions

Commits Merged PRs PRs opened Issues opened Threads commented

📊 By the numbers

GitHub Stats Streak

Contribution history graph

Languages by repo Most-committed languages
github-snake

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  1. Chat-Playwright Chat-Playwright Public

    Forked from danny-avila/LibreChat

    Chat-driven browser automation using LibreChat UI, Ollama (llama3.2 2B), and Microsoft Playwright MCP server over HTTP streaming — zero-config with Docker Compose.

    TypeScript

  2. elastiq-backend elastiq-backend Public

    Elastiq Backend is a FastAPI-based backend service designed to provide sentiment analysis capabilities. It leverages the Cohere API to analyze text sentiment and is containerized using Docker for s…

    Python

  3. solar_system solar_system Public

    Interactive Solar System simulation showcasing realistic planetary orbits, rotations, and scale.It offers smooth animations and educational insights into celestial mechanics. Ideal for learning, de…

    TypeScript

  4. CrowdFundingAppWeb3 CrowdFundingAppWeb3 Public

    Solidity

  5. nhs-triage-simulation nhs-triage-simulation Public

    Simulation framework for NHS emergency department triage optimization using a Mixture-of-Agents (MoA) architecture — built with SimPy, LangGraph, and FHIR-compliant synthetic data to reduce patient…

    Python