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AI Engineer with less than a year in Machine Learning & Data Science
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Enthusiastic Computer Engineering practitioner with strong skills, in AI, Machine Learning, Agentic Framework, LLM, Data Science, MERN stack and UI/UX design. Passionate about leveraging technology for positive impact, actively seeking opportunities to contribute technical expertise to meaningful causes.
University of Ruhuna
Bachelor of the Science of Engineering Honours · Computer Engineering
August 1, 2021 – June 30, 2025
Omdena
Machine Learning Engineer
October 1, 2024 – December 1, 2024
India
VSIS
Data Analyst & Visualization Engineer (Intern)
July 1, 2024 – January 1, 2025
India
Sketch to Color Generator
October 1, 2025 – October 1, 2025
Developed a Sketch-to-Color Generator using deep learning techniques to automatically colorize hand-drawn sketches. The project involved building and training a model (U-Net architecture). Implemented data preprocessing, training pipeline, and visualization using Python, TensorFlow, and OpenCV.
Voice Emotion Analyzer
April 1, 2025 – June 1, 2025
Built a system to detect emotions from speech using Wav2Vec 2.0 pretrained model, Librosa, Transformers, and PyTorch for audio feature extraction and classification.
AI-Based Multi-Agent Depression Detection and Therapy System
March 1, 2025 – November 1, 2025
Designed and developed a multi agent system to detect depression levels using LangChain, model fine-tuning, RAG and agentic AI to enhance personalized therapy recommendations. Evaluated model performance using real-world testing and improved depression-level classification accuracy. Applied BERTScore-based LLM comparison to identify the most accurate model for depression detection and therapy recommendation workflows.
AI-Driven Virtual Stylist
March 1, 2024 – June 1, 2024
Developed a system that uses artificial intelligence to analyze user's past clothing choices, body type, and preferences to suggest personalized outfits for different occasions. Used CNN to implement the model.
Restaurant Take Away System
November 1, 2023 – June 1, 2024
Designed and developed the frontend of an enterprise-level web application that enabled customers to order food online and pick it up.
Comparison of Air Quality Levels
October 1, 2023 – January 1, 2024
Implemented a model to predict and evaluate the levels of daily air pollution for selected cities and stations in India as a classification task. Used two main machine learning algorithms; Random Forest (RF) and K Nearest Neighbors (KNN).
Best Scientific Paper Award for 'AI-Based Real-Time Multi Agent Depression Detection System'
AIMDA 2026 International Conference on Artificial Intelligence in Multidisciplinary Applications
January 1, 2026 – Present
AI-Based Multi-Agent Depression Detection and Therapy System - Patent filing in process and published in the Vice Chancellor's Awards & Academic Sessions
Unknown
January 1, 2026 – Present
2nd Runner-Up at the Mobitel Code Blast Hackathon for 'AI Based Multi-Agent Depression Detection and Therapy System'
Mobitel
December 1, 2025 – Present
Finalist in the 'I am a Researcher' Competition at the 24th ICTer International Conference
University of Colombo
November 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects cover a diverse range of AI applications, from depression detection to image generation and voice emotion analysis, indicating a broad interest and adaptability. Their involvement in hackathons and research competitions, along with leadership roles in student chapters, suggests a proactive and collaborative mindset. The focus on leveraging technology for positive impact aligns well with a culture that values innovation and meaningful contributions. However, the limited professional experience (internship and short-term role) means their adaptability to diverse corporate cultures is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, communication, time management, and team leadership skills through project descriptions and extracurricular activities. Their involvement in organizing committees and project demonstrations suggests a proactive and collaborative work attitude. The academic background and project diversity indicate a good operational fit for roles requiring continuous learning and application of new AI technologies.