THAMINDU WICKRAMASINGHEJunior Full-Stack Developer with AI exposure
Profile

Full-stack web developer with hands-on experience building scalable web applications using Next.js, Node.js, and PostgreSQL. Developed multiple real-world systems including an AI-powered LMS, marketplace platform, and reusable SaaS templates. Currently expanding expertise in AI systems (LLMs, RAG, agent architectures). Passionate about building efficient, user-focused digital products and continuously improving technical skills.

Education
Jul 2022 – Jun 2025

Federation University⁠

Bachelor of Information Technology

Last year

Adelaide, Australia
Jun 2021 – Jun 2022

Southern Cross University⁠

Bachelor of Information Technology

1st year & 2nd year

Melbourne, Australia
Oct 2019 – Oct 2020

Nawaloka College of Higher Studies⁠

Swinburne Foundation Year (Business)
Colombo, Sri Lanka
Jan 2008 – Aug 2020

Rahula College⁠

Primary and Secondary Education
Matara, Sri Lanka
Projects
Feb 2026 – Present

JapanArc LMS & Website Platform

Education Management System

Currently developing a comprehensive digital platform for JapanArc to replace manual and paper-based operations. The system integrates an LMS with AI-powered features to streamline student management and administrative workflows. Key features include student enrolment management, visa document processing, course management, and centralised admin dashboard. Built using modern web technologies with a focus on automation, efficiency, and scalability.

Client Base: Students and administrative staff of JapanArc, targeting international education pathways.

Tech Stack:

  • Frontend: React, TypeScript, Vite, Tailwind CSS
  • Backend: Node.js, Express, Prisma, PostgreSQL
  • Tools & Systems: Docker, Nginx, RabbitMQ, AWS S3/MinIO
  • Jan 2025 – present

    Project E-GanuDenu.LK⁠

    Advertisement Website

    Currently developing a feature-rich platform to connect buyers and sellers via a user-friendly ad listing interface. Includes category filters, secure authentication, and admin tools. Built with Next.js, Node.js, Express, PostgreSQL, and Tailwind CSS, optimized for scalability and performance.

    Client Base: Targeted toward small businesses and individuals across Sri Lanka.

    Revenue Model: Monetized via featured ad placements, premium listings, and ad-based subscriptions.

    Feb 2026 – Mar 2026

    Car Rental Web Application (Template Product)

    Full-Stack Web Application

    Designed and developed a reusable car rental web application template intended for commercialization. The platform includes vehicle listing and filtering, booking/reservation functionality, user authentication, and an admin dashboard for managing inventory and bookings. Built with Next.js, Node.js, Express, and MongoDB/PostgreSQL, with a focus on modular architecture and scalability for multi-client use.

    Purpose: Product template for resale and customization for car rental businesses.

    Jul 2024 – Jun 2025

    CNC Web Portal⁠

    Full-Stack Web Application

    Collaboratively developed a global fishing and culinary service platform for CNC World Tour. Included restaurant listings, reservation system, admin dashboard, and partner portal. Used React, Node.js, Express, MongoDB, and Tailwind CSS.

    Client Base: Seafood restaurants, local fishing tour operators, and international tourists.

    Skills
    Frontend Development
    • React.js (Vite), Next.js
    • JavaScript (ES6+), TypeScript, HTML5, CSS3
    • Tailwind CSS, Styled-Components
    • Responsive Web Design, UI/UX Principles
    Database Management
    • MongoDB
    • PostgreSQL
    • Data Modeling and CRUD Operations
    Deployment & Hosting
    • Render, Vercel
    • Environment Variables & .env configuration
    Backend Development
    • Node.js, Express.js
    • RESTful API Design & Development
    • Authentication & Authorization (JWT, Sessions)
    Tools & Technologies
    • Git, GitHub
    • Visual Studio Code (VS Code)
    Courses
    Mar 2026 – Present

    Advanced AI Engineering (LLMs, RAG, Agent Systems)

    Online Professional Training

    Currently undertaking training in Prompt Engineering, LLM Fine-tuning, Retrieval-Augmented Generation (RAG), Context Engineering, and Agentic System Design. Building hands-on mini projects involving AI workflows, memory systems, and multi-agent architectures.

    Online
    References
    Ovindu Archana Nambukara, Software Engineer, DirectFN
    [email protected], +94713145998
    Seynath Thenura, AI and Machine Learning Engineer, mfortech
    [email protected], +94786068119