A Computer Science student with hands-on project experience in Java, Spring Boot, and Python. I've built and deployed full-stack apps on AWS and explored deep learning through academic and research projects. Currently looking for a 6-month internship where I can contribute, learn fast, and grow.
I'm a final year Computer Science student who genuinely enjoys turning ideas into working software. My core strength is backend development — designing REST APIs, working with relational databases, and deploying on cloud platforms.
I've worked on machine learning projects as part of coursework and a research collaboration — training LSTM models and applying computer vision to drone navigation. I'm at the beginning of my ML journey, but I learn by doing and find the space fascinating.
Outside code: I play cricket at a trained level and football at university. I bring the same persistence I apply to sport to every technical problem I encounter.
A full-stack web platform for solo travellers — built with HTML, CSS, JavaScript, and MySQL, deployed on AWS using S3 and Amplify. Handles dynamic content and user interactions with a cloud-hosted backend.
A REST API backend in Java and Spring Boot for managing student records with full CRUD functionality. Integrated MySQL using JPA/Hibernate for ORM, with a frontend interface for end-to-end data management.
Implemented and trained an LSTM-based model in Python to convert text sequences into audio output — as part of coursework. Gave me hands-on exposure to sequence modeling, recurrent neural networks, and signal processing.
Contributed to a research project building a fusion model for drone navigation, combining frame-based and event-based camera data using Python and OpenCV. Applied computer vision techniques to improve object detection in dynamic environments.