University of Southern California

• Double Major GPA: 3.91/4.0
• Bachelor of Science in Computer Science & Bachelor of Science in Economics/Mathematics
• Dean’s List
• Academic Achievement Award ($18,000)

Shanghai Pinghe High School

• International Baccalaureate Diploma: Scored 44/45
• High School Outstanding Graduate
• Pinghe High School Principal's Award

AWS Certified Machine Learning Engineer – Associate

Credential ID: f58918ba5ac343458aee7ea29f740e8e

AWS Certified Cloud Practitioner

Credential ID: 6ceba8df9ecd4f6d88f76077fb3a9228

AWS Certified AI Practitioner

Credential ID: 1306893c4de44f0a86af06b5f6e1bbb5

Tencent

• Worked with the Esports Technology Team at Timi Studio Group, developing in-game live streaming components using Go, Lua, and C++.
• Developed a log management module for Honor of Kings to automatically retrieve logs from user mobiles and upload them to Tencent Cloud Object Storage (similar to AWS S3). The module collects user logs based on data analyst requirements and allows them to download logs in specified formats from designated storage, reducing request turnaround time by 70%.
• Developed a feature to add a mail push interface to the management system, enabling the operations teams to send targeted emails to Yuan Meng Star players. Implemented an asynchronous email push mechanism to handle 30,000+ QPS efficiently and integrated a new MailPush table into the MySQL schema to track email push task progress.
• Refactored the original user entry and exit management service for live streaming rooms by implementing a graceful restart mechanism for long-lived TCP connections, enabling seamless server upgrades without triggering client reconnections, reducing 5xx error rate during deployment from 0.5% to 0.01%.
• Implemented uploading of business-critical metrics for in-game streaming rooms and users into Galileo, Tencent's self-developed metrics monitoring platform. Configured cgroup to limit CPU and network bandwidth usage of the stats daemon.
• Constructed integration test suites for the refactored service using the Ginkgo and Gomega testing frameworks and conducted memory analysis using the Drop platform (based on Golang pprof) to optimize memory usage, reducing it by 15%.

USC Viterbi School of Engineering

• Worked as an undergraduate teaching assistant for the Computer Science Department:
  • CSCI 170 - Discrete Methods in Computer Science (Fall 2023)
  • CSCI 356 - Introduction to Computer Systems (Spring 2024)
  • CSCI 350 - Introduction to Operating Systems (Fall 2024 - Present)
• Conducted weekly office hours to assist students with assignments and clarify complex topics.
• Designed assignments and midterm/final exams for over 200 students.