const kasun = {
name: "Kasun Abaywardana",
role: "Senior Full-Stack Engineer & AI Engineer",
company: "IBM → Monetary Authority of Singapore (MAS)",
location: "Singapore 🇸🇬",
origin: "Colombo, Sri Lanka 🇱🇰",
experience: "9+ years",
education: "B.Sc. Computer Science — University of Colombo",
focus: [
"Agentic RAG Systems & LLM Orchestration",
"MCP (Model Context Protocol) Server Design",
"LangGraph · LangChain · OpenAI · pgvector",
"Cloud-Native AWS Architecture & Serverless",
"Full-Stack React · NestJS · FastAPI Platforms",
"FinTech & Regulated AI Platform Engineering",
],
currentlyBuilding: [
"Agentic RAG platform @ MAS (LangGraph + OpenAI + pgvector + MCP)",
"CBDC issuance system on Hyperledger Besu",
],
quote: "Build systems that scale, ship features that matter!",
};Languages
Frontend
Backend & APIs
AI & LLM Engineering
Cloud & DevOps
Databases
ai_systems = {
"agentic_rag": {
"stack": ["LangGraph", "OpenAI GPT-4o", "pgvector", "FastAPI", "MCP"],
"context": "Production RAG platform @ MAS — regulated financial environment",
"pattern": "Multi-agent orchestration with tool-calling, memory, and audit trails",
},
"mcp_servers": {
"stack": ["Model Context Protocol", "TypeScript", "NestJS"],
"context": "Custom MCP server design for enterprise LLM tool integration",
"pattern": "Structured tool exposure for LLM agents across secure boundaries",
},
"document_ingestion": {
"stack": ["Unstructured.io", "Celery", "S3 event triggers", "pgvector"],
"context": "Async document pipeline for enterprise knowledge bases",
"pattern": "Event-driven ETL → chunk → embed → store → retrieve",
},
"llm_observability": {
"stack": ["LangSmith", "custom audit middleware", "structured logging"],
"context": "Audit-first AI design in regulated environments (MAS, FinTech)",
"pattern": "Full trace capture, token tracking, and decision logging per query",
},
}
- MCP (Model Context Protocol) — custom server design for enterprise LLM tool use
- LangGraph — stateful multi-agent workflows with cyclic graph execution
- AI Observability — audit-first LLM design in regulated financial environments
- AWS CDK — Infrastructure as Code for AI-native serverless systems
"Build systems that scale, ship features that matter!"