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yrangana/README.md

Yasiru Rangana

AI Architect and AI Engineer in Sydney, Australia. I design and build AI systems end to end, from models and retrieval to agents, evaluation and infrastructure: LLM applications, RAG and knowledge graphs, multi-agent workflows, and the harnesses around them. I'm also a doctoral researcher at Western Sydney University working on small object detection in fast-moving video.

Open source. I build open-source tools for AI-assisted development and AI systems (pinned below), and contribute to projects I use: code merged into LightRAG and RAG-Anything, and fixes to the FastMCP and Google ADK docs.

Research. Mitigating Roadkill Using Computer Vision and Machine Learning Techniques, IEEE ABC 2025.

Stack. Python, TypeScript, Rust, SQL 路 Google ADK, Pydantic AI, LangChain, LlamaIndex, MCP 路 LightRAG, Neo4j, Qdrant, pgvector 路 PyTorch, YOLO 路 Google Cloud, AWS, Azure, Docker, Terraform

yasirurangana.com 路 LinkedIn 路 ORCID 路 Google Scholar

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  1. ai-strategy-matrix ai-strategy-matrix Public

    A Streamlit application for creating and visualizing AI strategy matrices to prioritize AI use cases based on actionability, feasibility, and business value.

    Python 4

  2. fm-mcp fm-mcp Public

    Let Claude Code and Codex delegate simple text work to the on-device model for Apple Foundation Models. One Rust binary.

    Rust 5

  3. Plans Plans Public

    A markdown convention for tracking what you are building. Plain files in your repo, one source of truth for what is active, shipped, and next.

    HTML 3 1

  4. LightRAG LightRAG Public

    Forked from HKUDS/LightRAG

    [EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

    Python

  5. reflex-sigma-graph reflex-sigma-graph Public

    Sigma.js graph visualization component for Reflex

    JavaScript 2

  6. fastmcp fastmcp Public

    Forked from PrefectHQ/fastmcp

    馃殌 The fast, Pythonic way to build MCP servers and clients

    Python