Jiayun Wang

About Me

My Journey

I'm a Computer Science student at the University of California, Irvine, specializing in Information. With a strong foundation in full-stack development and a passion for AI and machine learning, I'm constantly seeking new challenges and opportunities to grow in the tech industry.

Beyond Coding

When I'm not immersed in code, you'll find me exploring various interests that keep me balanced and inspired.

Drawing

Gaming

Working Out

Skiing

Rock Climbing

Work Experience

Software Engineer, Intern

Gotchoo | Los Angeles, CA

03/2024–06/2024

•Developing a one-click gift-giving feature using ReactJS, HTMX, AWS, Stripe, Node.js, Material UI, and Jest, allowing e-commerce clients to integrate this functionality without needing to code
•Championed user privacy with an innovative SaaS-based framework that empowers users to send gifts without requiring the recipient's address, ensuring data protection and fostering trust among users
•Deployed AWS cloud services to ensure system scalability and security, and integrated payment processing capabilities using Stripe

ReactJS

HTMX

AWS

Stripe

Node.js

Material UI

Jest

Full Stack Engineer, Intern

Vision X | San Jose, CA

06/2023–08/2023

•Designed and implemented a full-stack web application for managing client request and instructions, monitoring job status and results, and for rendering the text and image advertisement generated by the LLM
•Contributed to the development of an AI-powered content generation algorithm that adjusts outputs based on predefined client preferences, helping to deliver more tailored and relevant content
•Streamlined development for future projects by creating a reusable ReactJS component library and a scalable MySQL database schema, achieving a 33% reduction in development time across 5 major projects

ReactJS

MySQL

LLM

Full Stack Development

Featured Projects

Real-Time Action Recognition Optimization

Personal Project

2023

•Collected and processed 2TB of surveillance video data using Python and computer vision techniques, improving YOLOv8's action recognition accuracy by 40%
•Developed a novel frame-stabilization algorithm to mitigate dropped frames in YOLOv8, achieving a 90% reduction in flickering detection boxes
•Implemented a confidence-weighted overlay method with CUDA-accelerated real-time processing

Python

YOLOv8

CUDA

Computer Vision

Automated AI Minesweeper Solver

Personal Project

2024

•Engineered an AI-driven Minesweeper solver leveraging frontier pruning and constraint satisfaction algorithms
•Implemented a three-tiered solver achieving success rates of 88.8% (beginner), 81.2% (intermediate), and 28% (expert)
•Enhanced computational efficiency, enabling 4,000 simulations in under 60 seconds through frontier-based pruning

Python

Data Analysis

Web Scraping

Fabflix Web Application

University of California, Irvine

01/2024–04/2024

•Designed and deployed a RESTful API on AWS and Tomcat servers, enabling seamless interaction between web application, MySQL database, and Android client
•Engineered a high-performance XML parser, optimizing large-scale data ingestion by accelerating the import of 40,000+ entries

Java

Tomcat

AWS

MySQL

XML