AI Engineer with less than a year in AI/ML engineering, RAG & LLMs
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Computer Science undergraduate with industry experience in AI/ML engineering, full-stack development, and intelligent AI systems. Skilled in Machine Learning, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), vector databases, NLP applications, and scalable backend development. Experienced in developing AI-powered chatbots, semantic search systems, and modern full-stack applications using LangChain, Python, Node.js, and cloud technologies.
University of Moratuwa
BSc (Hons) Information Technology · Information Technology
August 1, 2022 – June 30, 2026
H/Walasmulla National School
G.C.E Advanced Level · Physical Science Stream
June 1, 2012 – May 31, 2020
Ceylon Electricity Board
Software Engineer Intern
March 1, 2025 – August 1, 2025
Sri Lanka
APS Lanka Pvt Ltd
Software Engineer Intern
November 1, 2024 – January 1, 2025
Sri Lanka
Food Ordering Application
January 1, 2026 – Present
Developed a full-stack food ordering application using Next.js and MongoDB. Implemented customer authentication, item search, and ordering functionality. Integrated cart management and category-based ordering features for seamless user experience. Tech Stack: Next.js, MongoDB
Assets Management Application
January 1, 2026 – Present
Contributed as Project Manager and Full Stack Developer in developing an enterprise asset management system. Implemented asset selling features and QR code generation for efficient asset tracking. Optimized backend services to improve overall system performance and scalability. Tech Stack: .NET, Angular, MSSQL, Flutter
Budget Management Web Application
January 1, 2026 – Present
Developed a responsive finance tracking web application with secure budget and expense management features. Implemented real-time budget updates and server-side logic using .NET technologies. Tech Stack: React, Bootstrap, .NET, MSSQL
AI-Powered Agent System
January 1, 2026 – Present
Implemented Retrieval-Augmented Generation (RAG) using LangChain and ChromaDB for efficient semantic search. Integrated Ollama to run Large Language Models locally with improved privacy and zero API cost. Built scalable Python backend logic for document processing, embeddings, and AI response generation. Tech Stack: Python, LangChain, Ollama, ChromaDB, RAG
Final Year Research Project - AI-Based Automated Cinnamon Quill Grading System
January 1, 2026 – Present
Developed an AI-powered automated cinnamon quill grading system based on SLS 81:2021 standards using image processing and machine learning techniques. Implemented computer vision techniques for cinnamon quill detection, segmentation, and dimensional measurement using OpenCV and Python. Designed a three-point diameter measurement method to improve grading accuracy and consistency. Developed front and back flat-lay image analysis techniques for curved quill length estimation. Integrated automated grading logic to classify cinnamon quills into standard quality grades. Applied image preprocessing, contour analysis, feature extraction, and hybrid image processing techniques for grading optimization. Improved grading consistency and reduced manual grading errors compared with traditional grading approaches. Collaborated with team members on model development, testing, system integration, and research documentation. Individual Contribution: Developed the quill-level measurement and grading module using image processing techniques. Implemented automated diameter and length calculation algorithms for cinnamon quills. Worked on feature extraction and grading accuracy optimization for SLS standard mapping. Tech Stack: Python, OpenCV, Image Processing, Machine Learning, Deep Learning
Java (Basic)
HackerRank
January 1, 2024 – Present
Advanced Databases and SQL Querying
Udemy
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from full-stack web applications to specialized AI systems, indicates a broad interest and adaptability. The academic background from a reputable university and involvement in extracurricular activities suggest a well-rounded individual. The focus on AI/ML aligns well with an 'AI Engineer' target role, demonstrating a clear career path and passion for the domain. The personal projects, especially the 'AI-Powered Agent System' and the 'Final Year Research Project', show initiative and a proactive approach to learning and applying advanced technologies.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles in sports and club memberships, indicating potential for teamwork, communication, and time management. The project descriptions are clear and structured, suggesting good communication skills. The diverse project portfolio and internship experiences demonstrate an ability to adapt to different technical environments and contribute effectively.