My Work
Cinema E-Booking System
A movie theater website featuring seat reservations, showtimes management, secure payments, and responsive design.
- Next.js
- React
- TypeScript
- JavaScript
- Java
- Docker
- Spring Boot
- mySQL
- RESTful API design
- Docker containerization
KTP Pledge
Lead developement of a Pledge Tracker website for Kappa Theta Pi, enabling task tracking, leaderboards, and event calendars to enhance accountability and engagement during the pledge period.
- React
- Next.js
- Node
- Spring Boot
- MongoDB
Artist and Song Search Engine
The Artist and Song Search Engine is a Java-based application built with JavaFX that integrates iTunes and Spotify RESTful APIs. It combines API responses to deliver curated artist, song, and album information in a user-friendly GUI. The project demonstrates proficiency in object-oriented programming, JSON parsing, exception handling, and GUI design, all within a Linux/Unix development environment.
- Java
- JavaFX
- JSON Parsing
- Gson
- Maven
- REST APIs
- Unix
- Bash Scripts
- Git
- Inheritance
- Polymorphism
- Code Style Compliance
- Attribution Handling/Documentation
Exam Tracker
A website that allows students to remember when and where their exams are and lets them plan accordingly.
- JavaScript
- Node
- API creation
- MongoDB
Computer Networks Project
In this project, I implemented a client-server program using TCP sockets. The client sends its name and a user-input integer (1-100) to the server. The server responds with its name, a random integer (1-100), and the sum of both integers. Both the client and server display the exchanged information.
- Python
- Socket Programming
- TCP/IP Communication
- Client-Server Architecture
- String Manipulation
- Data Parsing and Encoding/Decoding
- Python Scripting
My Research
Segmentation of Knee Cartilage in MRI using Deep Learning
Conducted research at the AMIIE Lab , applying deep learning models (UNet) to analyze medical MRI data for early osteoarthritis detection. Created datasets using ITK-Snap and collaborated with a multidisciplinary team of graduate students.
- Deep Learning
- UNet Model
- Medical Imaging
- ITK-Snap
- Python
About Me
Hi, I’m Maryan Dehipitiarachchi, a Computer Science student passionate about building impactful AI solutions, crafting seamless web applications, and exploring the intersection of technology and innovation. Whether it’s designing ServiceNow chatbots to boost productivity, optimizing workflows, or leading hackathon-winning projects, I thrive on solving real-world problems through creativity and teamwork.
Outside of tech, I love making art— from watercolors to digital illustrations —baking delicious treats, and going for walks with friends and family. I believe in learning something new every day, whether it’s tech-related or just for fun. Let’s connect—I’d love to hear from you!
My Resume
