Final-year Computer Science student at the University of Chester, predicted a First Class and graduating July 2026.
I build full-stack web apps, native Android applications, and machine learning toolsand I take full ownership from idea to deployed product. My recent projects include a home insurance gap analyser built in FastAPI and Angular, a job tracker in Django and React, a Kotlin Android app with 129 unit tests, and a deployed AI agent on Cloudflare Workers. I also co-authored an accepted book chapter on AI and Big Data before finishing my degree. Available for graduate roles and internships from July 2026.
Chester, United Kingdom
LinkedIn: linkedin.com/in/aung-zin
GitHub: github.com/Kb1r
BSc (Hons) Computer Science (2022 – 2026) – First Class
Top 0.1% Nationwide (2019)
Distinctions: Physics (91%), Chemistry (90%), Mathematics (82%)
Book Chapter – 2025
An approved book chapter addressing the use of intelligent systems and big-data analytics to understand mental health trends in professional environments and enhance talent retention strategies.
Authors: Chandraparsad, Kay Thi Kyaw, Rituraj Jain, Aung Kyaw Zin
Publisher: NIPA
Machine learning comparative study achieving 90%+ accuracy.
ASP.NET Core full-stack system with SQL Server integration.
Native Kotlin application with SQLite database support.
Agile team project delivering QR-guided interactive museum experience.
Full-stack web application for tracking job applications and interview progress.
Full-stack web application that analyses home value and insurance coverage.
Machine learning project implementing a Gaussian Naïve Bayes classifier from scratch for banknote authentication.
Led team, developed Android app using Agile, handled design and code quality.
Managed 100+ customers per shift and handled cash & inventory.
Processed £2000+ daily transactions and trained new staff.