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AI Engineer with less than a year in AI-powered applications and intelligent automation.
Electrical and Information Engineering graduate with hands-on experience building AI-powered applications, machine learning solutions, and intelligent automation workflows through research and project work. Skilled in developing LLM-based systems, AI agents, data-driven applications, and API-integrated solutions using Python and modern AI technologies. Experienced in translating complex problems into practical technical solutions through workflow design, system integration, rapid prototyping, and applied machine learning, with a strong interest in AI agents, enterprise automation, and intelligent operations.
University of Ruhuna
BSc Engineering · Electrical and Information Engineering
August 1, 2021 – June 30, 2025
D.S. Senanayake College, Colombo 07
G.C.E Advanced Level · Physical Science Stream
June 1, 2015 – May 31, 2019
Sri Lanka Telecom
Engineer - Trainee
November 1, 2024 – February 1, 2025
India
Independent Television Network
Engineering - Trainee
October 1, 2023 – January 1, 2024
India
Enterprise AI Data Analyst – Multi-Agent Analytics Copilot
January 1, 2026 – Present
Developed an AI-powered enterprise analytics platform that enables natural language interaction with business data to support decision-making and operational insights. Built AI-agent and LLM-driven workflows that translate business questions into SQL queries, analytics tasks, and actionable outputs. Integrated Databricks, automated SQL generation, and data visualization workflows to support business reporting and insight generation.
AI-Powered Hotel Booking Agent using n8n
January 1, 2026 – Present
Developed an AI-powered workflow to automate reservation requests and customer interactions across multiple steps in the booking process. Integrated APIs, database operations, and WhatsApp communication workflows to automate information collection, booking confirmation, and reservation management.
View ProjectIntelligent Job Finder with AI-Powered Skill Matching
January 1, 2026 – Present
Developed an automated LinkedIn job discovery system to identify hiring opportunities, extract job information, and structure data for downstream analysis and recommendation workflows. Built AI-powered filtering, classification, and skill-matching workflows using LangChain and GPT models to evaluate opportunities against candidate profiles and support personalized recommendations.
View ProjectModern E-Commerce Lakehouse ETL Pipeline
January 1, 2026 – Present
Built automated ETL pipelines using Medallion Architecture for scalable business data processing and analytics. Developed data validation, transformation, and quality assurance workflows for reporting and KPI analysis. Created analytics-ready datasets and dashboards to support business intelligence and decision-making. Developed reusable data workflows to support automated reporting and analytics processes.
View ProjectCustomer Retention Prediction System (MLOps)
January 1, 2026 – Present
Developed an end-to-end machine learning pipeline covering data preprocessing, model training, evaluation, deployment, and inference. Implemented experiment tracking with MLflow and deployed scalable prediction services using Docker, FastAPI, and AWS.
View ProjectImage Captioning Using CNN & Deep Learning
January 1, 2026 – Present
Developed an image captioning system that generates descriptive text for images using deep learning-based computer vision and sequence modeling techniques. Used a pre-trained CNN for image feature extraction and an LSTM-based decoder to generate captions, with text preprocessing, model training, and evaluation of caption quality.
View ProjectMapping Network Traffic to User Behavior for Risk Assessment and Mitigation (Final Year Project)
January 1, 2025 – December 31, 2025
Analyzed encrypted IoT network traffic to infer user behavior and assess privacy risks in smart environments. Developed ML and LLM-based workflows for device fingerprinting, action identification, and behavior mapping using engineered traffic features. Applied Explainable AI (XAI) and Retrieval-Augmented Generation (RAG) techniques to improve interpretability and context-aware device identification. Designed an adaptive fake-traffic generation mechanism to obfuscate activity patterns and enhance privacy protection.
Easy Coupon - Digital Coupon Management System
January 1, 2025 – December 31, 2025
Designed and implemented a digital coupon platform that streamlined coupon distribution, validation, and reimbursement workflows through automated processing. Integrated secure backend services, QR-based verification, and real-time monitoring capabilities to improve operational efficiency and reduce manual administration.
Certificate course in Soft Skills Development
Unknown
June 1, 2026 – Present
IESL Student Member
IESL
June 1, 2026 – Present
IEEE Student Member
IEEE
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in AI-powered solutions across various domains (job finding, e-commerce, analytics, customer service, IoT security). This diversity, coupled with an academic background and a clear focus on AI/ML, aligns well with an AI Engineer role. The involvement in academic publications also suggests a research-oriented mindset, which can be beneficial for innovation. The candidate is still pursuing a bachelor's degree, which might indicate a preference for roles that offer continuous learning and mentorship.
Soft Skills & Operational Fit
The candidate lists Analytical Thinking, Problem Solving, Leadership, Team Collaboration, Adaptability, Communication, and Quick Learning as soft skills. The project descriptions suggest an ability to work on complex problems and integrate various technologies, indicating good problem-solving and adaptability. However, without direct assessment, the depth of these skills in a senior operational context is unknown.