William Jiang: experience

Experience

Machine Learning Intern, Playstation

June 2026 - September 2026 · San Mateo, CA

  • Developing vision-language and deep learning models to detect text, audiovisual, and contextual anomalies in gameplay to improve the efficiency of automated QA pipelines.

Skills: Python

Software Engineering Intern, Daily Bruin

2025 - Present · Los Angeles, CA

  • Develop and maintain web features for UCLA's student-run news organization.

Skills: Web Development

Website Developer, UCLA Campus Events Commission

Present · Los Angeles, CA

  • Maintaining web infrastucture to plan and promote campus events that foster student engagement and community.

Skills: Web Development

Software Engineering Intern, Geotab

June 2025 - September 2025 · Oakville, ON

  • Enhanced .NET-based installation software for Geotab devices used in 4.7 million vehicles in global fleet tracking.
  • Resolved production exceptions and customer-reported issues for over 50,000 businesses by using logs in BigQuery.
  • Improved the frontend for the installation workflow for 75,000 monthly installations for more intuitive error messaging.
  • Refactored C# backend logic to auto-populate asset data from serial scans to reduce registration errors by 30%.

Skills: C#, .NET, BigQuery, Docker

Fullstack Developer, SwipeSmart

September 2024 - December 2024 · Los Angeles, CA

  • Developed an iOS app to help users maximize cashback rewards by tracking credit card offers using Swift.
  • Estimated $1000/year in user savings from simulating spending data against category-optimized recommendations.
  • Improved credit card UI and simplified card setup process from Figma designs to reduce user setup errors by 25%.
  • Improved the user experience during the setup process by refactoring the data structure for credit card reward categories.

Skills: Swift, UIKit, CI/CD, Xcode

Computer Support Technician, UCLA Student Affairs IT

February 2025 - Present · Los Angeles, CA

  • Diagnosed and resolved complex hardware, software, and mobile device for for over 750 staff members and 23,000 residents.
  • Configured, maintained, and repaired Student Affairs computers, laptops, printers, and mobile devices to ensure optimal performance.
  • Deployed and upgraded software across departments, ensuring seamless integration and compliance with university IT standards.
  • Led IT projects including image configuration, hardware/software testing, and inventory management.

Skills: Jira, JQL, Atlassian, Software Deployment

Multimedia Designer, YouTube

April 2021 – October 2023 · Remote

  • Produced and edited 40+ videos, achieving over 140,000 views on YouTube
  • Implemented search engine optimization strategies, generating over 1.2 million video impressions
  • Developed and refined video content strategies to increase audience retention and grow channel visibility

Skills: Video Editing, SEO, Content Strategy

Research

Undergraduate Researcher, UCLA Robot Intelligence Laboratory

September 2024 – Present · Los Angeles, CA

  • Engineered a shared autonomy system to perform pick and place tasks with a robot arm by tracking eye movement.
  • Reduced task completion time by 50% compared to a button-controlled baseline while lowering user cognitive effort.
  • Achieved a 97% success rate in correctly inferring user intent from eye tracking during end-to-end user study trials.
  • Benchmarked 5 VLMs on 30 intent tasks to achieve up to 94% accuracy in translating gaze to multi-step actions.

Skills: Computer Vision, Robotics, Homography, Meta Aria Glasses

Undergraduate Research Intern, Interconnected & Integrated Bioelectronics Laboratory

December 2024 – Present · Los Angeles, CA

  • Contributed to development of a ferrobotic platform for automated viral detection in clinical samples.
  • Developed machine learning models to predict diseases from biomarkers using colorimetric RT-LAMP assays.
  • Evaluated machine learning models to determine performance in multi-class disease classification.

Skills: Machine Learning, Bioelectronics, RT-LAMP, Disease Prediction

Computer Vision Research Assistant, University of Waterloo, Vision and Image Processing Laboratory

July 2024 – August 2024 · Waterloo, ON

  • Built an automated hockey analytics pipeline for Stathletes to track statistics for 31 leagues and 34,668 players.
  • Designed a YOLO-based detection and tracking system with 98% accuracy in identifying players using Python.
  • Developed an XGBoost model using features from 150 games to quantify player performance on a per-play basis.
  • Optimized model generalization by minimizing RMSE over 100 boosting rounds to a final validation value of 0.14.

Skills: YOLO, Computer Vision, Machine Learning, SAM2, Homography

Links