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Bachelor of Science in Engineering

University of Moratuwa, Sri Lanka

Electronic and Telecommunication Engineering

• Computer vision
• Deep Learning
• Signal processing
• Machine Learning

High school

Richmond College Galle, Sri Lanka

• Physical science

Committee Member

SLRC branch - Electronic Club

Acted as chairperson for Sri Lankan Robotics Challenge 2024

Technical coordinator - Learnsteer Project

Sasnaka Sansada Foundation

Stable Diffusion Based Criminal Face Generation for Forensic Identification

This project aimed to develop a system for generating suspect face sketches based on textual descriptions using Stable Diffusion and other AI models, addressing limitations of traditional forensic face sketching methods.

• Combines multiple AI models for text-to-image generation
• Utilizes LLMs for prompt generation, extracting key facial features
• Image-to-image refiner allows for minor adjustments to generated sketches
• Enhances forensic identification by generating realistic face sketches from textual descriptions

Cell Anomaly Detection Using Adversarial Autoencoders

Developed an anomaly detection system for cell images using adversarial autoencoders, leveraging both KDE and reconstruction error metrics for robust anomaly detection, even in contaminated datasets.

• VGG16-based encoder-decoder architecture for image analysis
• Employs Kernel Density Estimation (KDE) for enhanced anomaly detection
• Implemented using TensorFlow for efficient model training and inference
• Enables robust anomaly detection in cell images, potentially improving medical diagnostics

Handwritten Digit Classification

Developed a Handwritten Digit Classification model using TensorFlow's Keras API, achieving high accuracy in classifying handwritten digits from the MNIST dataset.

• Built a neural network to classify handwritten digits from the MNIST dataset
• Preprocessing image data and encoding categorical labels for model training
• Evaluated model performance and visualized results for improved understanding
• Provided hands-on experience in image classification and model evaluation using TensorFlow

Five band Audio Equalizer

Developed a Five-Band Audio Equalizer using operational amplifier based active filters, enabling detailed audio customization across five frequency bands.

• Designed and built a fully functional audio equalizer using op-amp circuits
• Implemented low-pass, high-pass, and band-pass filters for audio signal manipulation
• Provides adjustable frequency bands for precise audio customization, including Low, Low Mid, Mid, High Mid, and High
• Enhances hands-on electronics skills with practical application of analog circuit design

Sparkle Robot

Developed a versatile robotic platform powered by Arduino Mega 2560, showcasing advanced functionalities and innovative sensor integrations.

• Implemented a range of functionalities using Arduino programming
• Integrated various sensors for enhanced robot capabilities
• Demonstrated problem-solving skills in robot design and development
• Provided hands-on experience in robotics and microcontroller programming

Automatic Ret retractable Clothesline System

Developed an Automatic Ret retractable Clothesline System (ARCS) incorporating Arduino technology, automated rain detection, and remote monitoring through Thingspeak.

• Combines Arduino technology with automation for smart clothes drying
• Features an automated rain detection system for protecting garments
• Utilizes Thingspeak integration for real-time remote monitoring and control
• Offers an innovative solution for efficient and intelligent clothes drying