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dasu07988/README.md

👋 Hi, I'm Dasuni (Yashadhi) Jayasundara

🎓 BSc (Hons) Information Technology Undergraduate at General Sir John Kotelawala Defence University (KDU), Sri Lanka.

🚀 Passionate about Enterprise AI, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), LLMOps, and AI Automation.

💡 I enjoy designing intelligent systems that combine Large Language Models, workflow automation, APIs, and enterprise knowledge to solve real-world business problems.

👀 Interests

  • Enterprise AI
  • Agentic AI Systems
  • Multi-Agent Architectures
  • Retrieval-Augmented Generation (RAG)
  • LLMOps
  • AI Automation
  • Technical Project Management
  • Software Engineering

🌱 Currently Learning

  • Advanced Multi-Agent AI Frameworks
  • Enterprise RAG Systems
  • LLM Evaluation & Observability
  • AI Workflow Orchestration (Flowise & n8n)
  • Vector Databases
  • MCP (Model Context Protocol)

🔭 Current Focus

Building AI-powered enterprise applications including:

  • 🤖 Multi-Agent Incident Resolution Systems
  • 📚 Enterprise Knowledge Assistants
  • 🔍 Retrieval-Augmented Generation (RAG) Pipelines
  • ⚙️ AI Workflow Automation
  • 🔗 REST API Integrations

💞️ Open to Collaborate On

  • AI Automation Projects
  • Enterprise AI Applications
  • Multi-Agent Systems
  • LLM-based Applications
  • Open Source AI Projects
  • Workflow Automation

📫 Connect With Me

⚡ Fun Fact

I genuinely enjoy debugging complex AI workflows. One of my favorite challenges involved tracking down multiple issues—including API rate limits, JSON parsing errors, asynchronous JavaScript behavior, and workflow logic—until an autonomous AI agent successfully completed an end-to-end enterprise automation.

Pinned Loading

  1. Enterprise-AI-Incident-Resolution-Platform Enterprise-AI-Incident-Resolution-Platform Public

    Enterprise AI Incident Resolution System using n8n, Google Gemini, Pinecone, and Retrieval-Augmented Generation (RAG)

    JavaScript 1

  2. n8n-rag-chatbot n8n-rag-chatbot Public

    AI-powered Retrieval-Augmented Generation (RAG) chatbot built with n8n and Google Gemini. Supports PDF upload, semantic search, document question answering, and summarization using vector embeddings.

  3. team-guessing-game team-guessing-game Public

    Python

  4. AI-Customer-Support-Agent AI-Customer-Support-Agent Public

    AI-powered Customer Support Agent built with n8n, Google Gemini 2.5 Flash, REST Webhooks, and Google Sheets.

    1

  5. CodeAlpha_AI_FAQ_Chatbot CodeAlpha_AI_FAQ_Chatbot Public

    AI FAQ Assistant built with Python, Flask, NLP and TF-IDF for intelligent FAQ retrieval with confidence scoring.

    CSS