CS Undergrad

Present

Hello

-It’s Daham Dissanayake

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Daham Dissanayake - ComputerScience Undergraduate

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Real Me

Choose your POV

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"I’m a Computer Science undergrad who has been hooked on tech since childhood. I love building clean, well-planned solutions for real-world problems. I always prioritize clear code, proper formatting, and purposeful, modern execution."

Python

JavaScript

TypeScript

Java

C++

Next.js

React

Tailwind CSS

Figma

HTML5 / CSS3

ESP32

Raspberry Pi

YOLO

PyTorch

OpenCV

TensorFlow

Edge Impulse

Git

Docker

MySQL

Bash

Python

JavaScript

TypeScript

Java

C++

Next.js

React

Tailwind CSS

Figma

HTML5 / CSS3

ESP32

Raspberry Pi

YOLO

PyTorch

OpenCV

TensorFlow

Edge Impulse

Git

Docker

MySQL

Bash

Portfolio

Selected Works

01

SoterCare

IoT & ML Based Elderly Care Monitoring System.

SoterCare - Image 1

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About the project

(2nd Year Project - Ongoing)

SoterCare is an innovative IoT and Machine Learning-driven elderly care monitoring system designed to provide proactive, dignified safety. Unlike traditional reactive SOS buttons, it predicts falls and detects urinary incontinence in real-time. By integrating wearable sensor nodes with a dedicated edge gateway, the system ensures continuous vitals monitoring and automated emergency alerts, offering a comprehensive safety net for seniors while maintaining their independence.

Technologies

IoTRaspberry PiReact NativeC++NestJSPythonPostgreSQLDockerRedisRAGEdge Impulse

02

ImgHarvest

Image dataset collection tool for ML models

ImgHarvest - Image 1

ImgHarvest - Image 2

About the project

Powered by WSO2 Ballerina & Choreo

I built Image Harvest to streamline the collection of high-quality image datasets for training image recognition ML models. The backend is powered by WSO2's Ballerina language, providing a robust and scalable integration layer for image fetching. Paired with a modern React frontend, the tool allows users to effortlessly search and download image batches. The complete application will soon be deployed and hosted on WSO2 Choreo for enterprise-grade reliability.

Technologies

BallerinaNext.jsTypeScriptDockerWSO2 ChoreoSerpApiGrokApi

03

VibeCheck [Chrome Extension]

Visual web layout debugging assistant

VibeCheck [Chrome Extension] - Image 1

VibeCheck [Chrome Extension] - Image 2

About the project

Available on the Chrome Web Store.

I built VibeCheck to bridge the gap between spotting visual layout bugs and fixing them. It’s a Chrome Extension available on the chrome web store, built with JavaScript, HTML5, and CSS3 (Manifest V3) that lets me inspect pages, overlay precision grids, and click to mark 'friction points.' The tool automatically synthesizes this visual data into structured prompts for AI assistants, drastically streamlining the process of turning design feedback into code.

Technologies

JavaScriptHTML5CSS3Manifest V3

04

ReImage Agent

AI-powered constant avatars for communities.

About the project

(Ongoing)

I built ReImage-Agent to unify user identities across platforms, like clubs requiring consistent member avatars. By leveraging a custom prompt pipeline, it automatically transforms photos into cohesive, stylized cartoons while preserving facial features. The system is built with Next.js and Tailwind CSS for a sleek frontend, backed by FastAPI and Google's Gemini 2.5 Flash model for high-performance, intelligent image generation.

Technologies

Next.jsFastAPIPythonGemini (Nano Banana)

Mini Projects

Small tools built to simplify tasks

Visionslide

Imposter Game

Dev-Pulse API

Flood-Watch [NullProduct]

Keyboard Macro Writer

Apple Photo Sorter

Tripwire-YOLO

Apple HomeKit Automation

Resume

Core Expertise

Full Stack

Building scalable, high-performance web applications with modern frameworks. From interactive user interfaces to robust backend architectures.

ReactNext.jsNode.jsTypeScript

View Full Resume