Building intelligent, scalable, and production-ready AI-powered applications using Python, FastAPI, LangChain, LLMs, vector databases, and modern full-stack technologies.
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I am an AI Engineer and Software Engineer with 5 years of experience in full-stack development, cloud integration, and Generative AI application development.
My current focus is on building practical AI solutions using Large Language Models, Retrieval-Augmented Generation, Agentic AI workflows, semantic search, vector databases, and scalable backend APIs.
I enjoy transforming complex business problems into intelligent software systems that improve productivity, automate workflows, and support better decision-making.
- 🔭 Currently working on enterprise Generative AI and RAG-based applications
- 🤖 Building with LLMs, LangChain, Hugging Face, FAISS, ChromaDB, Pinecone, and FastAPI
- 🧠 Interested in Agentic AI, AI agents, document intelligence, and AI-powered automation
- ☁️ Experienced in AWS, GCP, Docker, REST APIs, and cloud-based application development
- 🏆 Recognized for AI innovation and enterprise software engineering contributions
- 📫 Reach me at: dilshantilakaratne29@gmail.com
Generative AI LLMs RAG Agentic AI LangChain Hugging Face OpenAI AWS Bedrock Prompt Engineering Semantic Search
Python FastAPI Flask Java Spring Boot NestJS REST APIs Microservices
FAISS ChromaDB Pinecone PgVector
Angular React TypeScript JavaScript HTML CSS SCSS Material UI
MySQL PostgreSQL SQLite Firebase AWS GCP
Git GitHub GitLab Docker Postman VS Code
Enterprise-grade AI platform for intelligent automation, knowledge discovery, AI-powered search, workflow monitoring, document intelligence, and business process optimization.
Tech Stack: Angular, Python, FastAPI, RAG, FAISS, LLMs, Prompt Engineering, Vector Databases
AI-powered assistant for content review, compliance validation, OCR processing, transcript extraction, semantic search, and regulatory knowledge retrieval.
Tech Stack: Angular, FastAPI, RAG, FAISS, Embeddings, LLMs, Agent-Based Workflows
Multi-agent AI travel assistant built for itinerary generation, travel recommendations, and automated planning workflows.
Tech Stack: Angular, OpenAI LLMs, Google ADK, Multi-Agent Architecture
🏆 Secured 1st Place in Virtusa Agentic AI Hackathon
Generative AI platform that converts business requirements and user stories into test cases, test scenarios, acceptance criteria, and automation-ready scripts.
Tech Stack: RAG, LLMs, Prompt Engineering, AI Workflow Automation
Conversational AI system that allows users to upload policy documents and ask questions using a RAG-based document intelligence pipeline.
Tech Stack: Python, FastAPI, LangChain, Gemini, Hugging Face Embeddings, FAISS, Angular
AI platform that transforms candidate resumes into standardized professional CV templates using structured extraction and RAG pipelines.
Tech Stack: FastAPI, LangChain, OpenAI LLMs, React, JSON Schema, Prompt Engineering
- Building production-ready Generative AI applications
- Developing RAG pipelines for enterprise document intelligence
- Exploring Agentic AI and multi-agent systems
- Designing scalable FastAPI-based AI backends
- Improving LLM evaluation, prompt engineering, and AI workflow automation
- Career Essentials in Generative AI – Microsoft & LinkedIn
- Certified GenAI Assisted Engineer – Virtusa
- Custom GenAI Pathway – Virtusa
- GenAI Hackathon Certificate – Virtusa
Building intelligent AI-powered solutions with clean engineering, practical innovation, and continuous learning.