Patrick Sai

Computer science student in Auckland with strong skills in Python and Java. Completed projects include designing a social media website, enhancing software development, and improving problem-solving and logical thinking abilities. Seeking internships to gain practical experience and apply coding skills in real-world applications. Quick to adapt and learn new technologies.

• UOA Game Developer Guild
• UoAAMC J-MUSIC Team
• UoA Anime and Manga Club
• NZCSA

• VMware Spring Certified Professional 2022
• Outstanding Volunteer Certificate 2025

• COMPSCI 225 (A-): Collaborated within an Agile team to develop a podcast application with frontend-backend integration, secure user registration, and a simplified UI. Participated in sprint planning, daily stand-ups, iterative development, and continuous feedback loops to deliver incremental improvements. Built features for adding and deleting podcasts, leveraging an ORM framework to design database schemas and intermediary tables for many-to-many relationship management. Demonstrated proficiency in decoupled HTML templating (Jinja), CSS styling, and JavaScript/Python for dynamic user interactions. Project repository:https://github.com/UoA-CS-Sindhwani-CS235-S2-2024/cs235-s2-2024-podcastwebapp-jerm762-csai446-mleh238.git
• COMPSCI 331 Large-Scale Software Development: Built distributed systems with data serialization/deserialization, JPQL for data retrieval, and JPA annotations with inheritance structures. Implemented lazy loading, eager fetching, and transactional consistency under concurrent execution. Designed the architecture for a Mass Notification/Emergency Communication (MNEC) system using a modular structure and a component-and-connector model with a broker pattern. Applied architectural tactics to address quality attribute scenarios, ensuring system scalability and reliability.
• COMPSCI 373: Computer Graphics and Image Processing: Developed skills in setting world and camera coordinates for objects, calculating Phong reflection, and applying Gouraud and Phong shading for smooth rendering. Implemented shadow computations, texture mapping, and ray tracing. Applied image processing techniques including brightness and contrast adjustment, histogram analysis, spatial filtering (mean, Gaussian, median filters), edge detection, segmentation, and morphological operations.
• COMPSCI 399 Capstone Course: Designed and developed a social media website using Docker, TypeScript, Python, and React, featuring a single real user interacting within a network of bot accounts. The platform aimed to demonstrate how user opinions can be influenced by automated bots without notice, providing insight into digital manipulation and user behavior in online environments.