Zirui Jia

Sydney,NSW

Summary

With foundational skills in mobile, web development, along with a burgeoning interest in HCI, AI, and graphics computing, I am eager to expand my knowledge and contribute meaningfully to projects. I approach each task with diligence and a commitment to personal growth. My commitment to producing quality work with careful attention and precision.

Work History

Mobile App Development

Jiehong Technology

11.2023 - 03.2024

Responsibilities: Cross-Platform App Developer

Independently developed a cross-platform application encompassing mobile (Android) and web platforms, including project planning, interface design, front and back-end code implementation, and project summarization.
Leveraged AI technologies to implement image/video processing and text recognition functionalities, including resolution enhancement, binary image colorization, image cartoonization, and OCR, and various special effects functionalities such as predicting future and past appearances, gender transformation, and human-driven effects.
Utilized Flutter for front-end development and integrated Flask with open-source AI libraries like PaddleGAN, Real-ESRGAN, and PaddleOCR for back-end development.

Education

Master of Information Technology - Software Engineering

University of New South Wales

Sydney, NSW

05.2025

Bachelor of Science - Computer Science & Software Development

University of Sydney

Sydney, NSW

11.2023

Skills

Web Development (HTML, CSS, Javascript, React)
Mobile App Development (Flutter)
Backend Development (Flask, SpringMVC)
Agile Development

HCI (User Experience analysis, basic UI/UX)
Basic AI and operating system knowledge
Design pattern & Algorithms analysis
Graphics and Multimedia computing (Morphological processing, 2D & 3D computer graphics, compression)

Project Experience

University-Searten Budget System Integration Project

Collaborated with Searten company in developing a budget management system.
Utilized React for front-end and Flask for back-end development. Participate in development of key features including bookmarking/tagging budget operations, budget visualization, and summary functionalities. Played a vital role in the project by contributing to UI/UX design, front-end and back-end development, as well as testing phases.

Deep Learning Project for data imputation

Deep learning initiative to address data incompleteness issues, crucial in AI and data analysis domains. Utilized GAN (Generative Adversarial Network) model to predict missing data segments. Played a pivotal role in training and optimizing the GAN model to accurately predict missing data, thereby enhancing predictive accuracy and analysis capabilities in real-world scenarios.

Timeline