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AI Engineer with 2+ years in AI, Machine Learning, and Big Data
Computer Science graduate with hands-on experience in Artificial Intelligence, Machine Learning, Big Data, Data Science, and full-stack software development. Completed a BSc (Hons) in Computer Science at the University of Sri Jayewardenepura, with a strong academic foundation in Computer Science, Statistics, and Mathematics. Experienced as a Big Data & Data Science Intern at Mobitel, with practical exposure to Hadoop, PySpark, RAG-based chatbots, LLM-powered enterprise systems, and AI application deployment. Passionate about building intelligent, scalable, and business-ready AI solutions for real-world industry problems.
University of Sri Jayewardenepura
BSc (Hons) · Computer Science
N/A – June 30, 2026
University of Colombo School of Computing
Higher National Diploma · IT
N/A – June 30, 2024
Visakha Vidyalaya, Colombo 5
GCE Advanced Level Examination
N/A – May 31, 2020
Mobitel (Pvt) Ltd
Intern - Big Data & Data Science
December 1, 2025 – Present
India
Dchem Learning Centre
Teacher Assistant (IT & Administration)
November 1, 2021 – January 31, 2023
India
DFCC Bank PLC
Trainee Banking Assistant
March 1, 2021 – June 30, 2021
India
AI Assisted Legal Management System (Mobitel (Pvt) Ltd)
June 24, 2026 – Present
Developed an AI-assisted legal workflow management system designed to automate legal case handling, document validation, approval workflows, and legal template generation and awarded 1st Runner-Up in the AI Assisted Coding Challenge at Sri Lanka Telecom.
University Hall Booking System
June 24, 2026 – Present
Developed a full-stack web application for hall reservations at the University of Sri Jayewardenepura. Features include user login, real-time hall availability, booking submission, admin approval panel, and a user dashboard. Deployed using Docker with a cloud-hosted MySQL database on FreeSQL.
Medicine Recommendation System
June 24, 2026 – Present
Developed a symptom-based medicine recommendation engine with a responsive frontend using Flask. The system suggests appropriate medications based on user-input symptoms.
Glow Hatty - Smart Lamp
June 24, 2026 – Present
Designed and built a smart lamp that uses machine learning to detect objects (books vs. phones) and automatically adjusts lighting based on user activity.
Server Performance Monitoring Using Agentic AI (Mobitel (Pvt) Ltd)
June 24, 2026 – Present
Designed an Agentic AI log analytics architecture for real-time anomaly detection and automated operational insights from server logs.
NEXU - News Verification Robot using Crowdsourcing
June 24, 2026 – Present
Developed a real-time news verification system as part of the Human-Robotics Interaction Project, which scrapes Reddit data and analyzes content credibility using crowdsourced signals and sentiment analysis. Integrated Raspberry Pi and Arduino to enable physical interaction and movement based on the system's verification outcomes.
Stroke Risk Prediction – EDA & ML Pipeline
June 24, 2026 – Present
Built a full analytics pipeline (descriptive, diagnostic, predictive, prescriptive) on the Kaggle Stroke Prediction dataset. Addressed class imbalance using SMOTE, compared Logistic Regression, SVM, Random Forest, and XGBoost (best accuracy: 90%), and applied Differential Evolution for prescriptive risk minimization.
Hand Gesture Game for Kids
June 24, 2026 – Present
Developed an interactive game controlled by real-time hand gestures using Python and OpenCV. The system tracks finger movements to enable touchless gameplay, enhancing user interaction and demonstrating gesture-based controls in gaming.
LLM based Intelligent Assistant for Navigating Procurement Guidelines in Sri Lanka
June 24, 2026 – Present
Developed an LLM-based chatbot using a Retrieval-Augmented Generation (RAG) architecture, with document chunking and vector database integration, to assist users in navigating Sri Lanka's government procurement guidelines.
NIC Verification System (Mobitel (Pvt) Ltd)
June 24, 2026 – Present
Contributed to an automated identity document pipeline involving YOLO-based detection, rotation correction, crop alignment, and image similarity matching for Sri Lankan NIC validation.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from academic research to professional implementations, indicates adaptability and a broad interest in applying AI across various domains. Involvement in multiple university clubs and associations suggests strong teamwork and leadership potential. The projects align well with an AI Engineer role, demonstrating a passion for building intelligent and scalable AI solutions. The blend of academic rigor and practical industry exposure points to a well-rounded individual who can contribute effectively to a dynamic team.
Soft Skills & Operational Fit
The candidate's profile and project descriptions suggest a proactive and problem-solving attitude. Participation in coding challenges and academic projects indicates a drive for continuous learning and application of new technologies. The internship at Mobitel (Pvt) Ltd shows exposure to enterprise-level projects and team collaboration. However, without specific psychometric or English test results, a detailed assessment of communication clarity, logical reasoning, work attitude, stress handling, and team collaboration cannot be fully provided.