Final-Year Computer Engineering Undergraduate, University of Ruhuna.
Building production-ready AI systems
from models to scalable software.
Software Engineer | AI/ML
AI & ML projects deployed end-to-end (training → API → UI)
Experience with real-time systems, pipelines & model persistence
Research-focused: Blockchain + GNNs for vehicular networks
Technical Arsenal
🧠 AI / ML Systems
- •Model training, evaluation & persistence
- •Pipelines (scikit-learn, custom preprocessing)
- •Computer Vision (OpenCV, real-time inference)
- TensorFlowPyTorchPython
🌐 Software Engineering
- •REST & real-time APIs (Node.js, Socket.io)
- •Frontend systems (React, Next.js, React Native)
- •Authentication, state management, scalability
- TypeScriptNode.jsNext.js
☁️ Dev & Ops
- •Dockerized services & containers
- •AWS deployment basics
- •Git-based collaboration & CI mindset
- DockerGitLinux
Work Experience
Software Engineering Intern
Capricon Solution Pvt Ltd • 6 Months
Developed and maintained enterprise-level solutions, specifically focusing on a robust Point of Sale (POS) system. Handled backend logic for inventory management, sales tracking, and reporting modules to support business operations.
Business Logic
Translated complex business requirements into clean, maintainable code within the MVC architecture.
Database Design
Managed relational databases (MySQL) for high-transaction environments (sales/inventory data).
Featured Projects
Resume Optimizer
A Streamlit dashboard that parses resumes into JSON and gives an ATS score using Llama 3.
Key learning: Structured Output (JSON) and system prompts.
View ProjectEV Charging Station Management Platform
Built a full-stack system enabling real-time charger availability, booking, and route-aware station selection. Implemented live updates using WebSockets and designed the backend.
Key learning: Designed real-time systems and managed state consistency across clients.
View ProjectLiveTalk – Secure Real-Time Communication
Designed a multi-user chat system with message flows, and communication using Socket.io.
Key learning: Explored real-time scalability, message synchronization, and user presence management.
View ProjectEngineering Journal & Open Source
Current Focus
Building
Production-grade AI apps with clean APIs, observability, and predictable outputs.
Learning
LLM system prompts, structured JSON extraction, and evaluation for reliability.
Open To
AI/ML engineering, backend systems, and impactful product collaborations.
Open to Conversations
Always open to discussing AI systems, backend scaling, or new opportunities.