Software Engineer with 1+ years in AI Systems & Backend Development
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Final-year Software Engineering undergraduate at IIT, currently working as a Software Engineering Intern at Kingslake Pvt Ltd. Possessing a strong interest in backend development, AI systems, and Generative AI, with hands-on experience in building AI assistants, RAG-based systems, and scalable backend services using Python, FastAPI, LangChain, LangGraph, and cloud technologies (AWS, Docker).
IIT (Affiliated with University of Westminster)
BEng (Hons) Software Engineering · Software Engineering
August 1, 2022 – Present
Devi Balika Vidyalaya
G.C.E. (Advanced Level) Examination · Physical Science Stream
June 1, 2013 – May 31, 2021
Kingslake Pvt Ltd
AI and Data Science Intern (Internship)
June 1, 2025 – Present
Colombo, Western Province, Sri Lanka
Zeal Pvt Ltd
Project Management Intern (Internship)
October 1, 2024 – May 1, 2025
Colombo, Western Province, Sri Lanka
Breast Cancer Mortality & Survival Prediction – Machine Learning Project
June 1, 2026 – Present
Built and evaluated classification models (Logistic Regression, Naïve Bayes, KNN) to predict breast cancer mortality using the SEER dataset. Developed and tuned a Voting Ensemble classifier to improve prediction performance. Designed Decision Tree regression models (fully grown & pruned) to estimate patient survival months. Performed data preprocessing, feature selection, and model evaluation using AUC-ROC, F1-score, MAE, and MSE. Technologies: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Decision Trees, Ensemble Learning, Classification & Regression Modelling.
AI Mental Health Assistant - MindAssist
June 1, 2026 – Present
Designing AI-driven mental health support system with focus on accessibility, cultural relevance, and clinical safety. Implementing structured decision logic using validated screening tools including GHQ+, PHQ-9, and GAD-7. Developing AI-assisted self-help features using Cognitive Behavioral Therapy (CBT) and mindfulness techniques. Integrating emergency escalation protocols to Sri Lanka National Mental Health Hotline (1976). Technologies: Python, FastAPI, LangChain, OpenAI GPT, ChromaDB, NLP.
Real-Time Event Ticketing System
June 1, 2026 – Present
Developed a web application for real-time event ticketing using Angular, Spring Boot, MySQL, and Postman for API testing. Implemented multi-threading with advanced producer-consumer patterns to handle concurrent operations efficiently. Designed a responsive frontend, RESTful APIs, and a secure database schema to manage ticketing and reporting in a synchronized, scalable manner. Technologies: Angular, Spring Boot, MySQL, REST APIs, Postman.
Sliding Puzzles Solver
June 1, 2026 – Present
Developed algorithm to solve frictionless ice puzzles by calculating shortest path using custom map representation. Implemented input file parsing, step-by-step solution output, and performance optimization through Big-O analysis. Technologies: Java, Data Structures, Algorithms, Performance Optimization.
AI Agents in LangGraph
DeepLearning.AI
June 1, 2026 – Present
Introduction to Prompt Engineering for Generative AI
Unknown
June 1, 2026 – Present
Introduction to Large Language Models
Google Cloud Skill Boost
June 1, 2026 – Present
Introduction to Responsible AI
Google Cloud Skill Boost
June 1, 2026 – Present
Introduction to Generative AI
Google Cloud Skill Boost
June 1, 2026 – Present
LangChain: Chat with Your Data
DeepLearning.AI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from academic machine learning to real-time systems and personal AI-driven mental health assistants, indicates a broad interest and adaptability. Their continuous learning efforts and focus on impactful AI applications align well with a culture that values innovation, self-improvement, and problem-solving. The project management experience, though brief, suggests an ability to work in a structured environment and collaborate.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and applying new technologies, particularly in AI. Their project management internship suggests an understanding of project coordination and stakeholder communication, which are valuable for operational fit. The MindAssist project highlights an interest in impactful, socially relevant applications, indicating a potential for strong engagement and purpose-driven work.