Raymond Lee

Performance Engineer @ NVIDIA

About

I always aspired to be a software developer. Then, I lost my hands. Even as far back as 7th grade, I dreamed of a future as a software developer. I devoted countless hours to this craft, Then at just 16 years old, I faced an unprecedented obstacle that would catastrophically alter my future: bilateral carpal tunnel syndrome. Shortly after, I developed De Quervain's tenosynovitis in both thumbs. Carpal tunnel syndrome, marked by hand numbness, muscle weakness, and debilitating wrist pain, combined with the thumb pain of De Quervain’s, made every hand movement agonizing. For a developer, hands are not just tools, they are the foundation of the craft from which everything is done. Without them, my aspirations seemed impossible. Years of physical therapy, rest, and endless trial and error of innumerable solutions ultimately ended all the same; the pain remained. Many people, including close friends and family, pressured me to reconsider my career path. But all the same, I kept on moving forward. I pushed on to graduate high school with a 4.84 GPA, 75 transferable college units, and top four ranking in the class, all while simultaneously dual-enrolled in a challenging blended college curriculum. Even with disabilities, I again graduated top of my university at 3.98 GPA in only 2.5 years, all while obtaining invaluable experience from San Joaquin County and NVIDIA. Always adapt. Never doubt the things that you capable of when you are driven.

Country

United States

City

Stockton

Industry

Computer Software

Skill

Playwright, Selenium, Essentialism, Cross-functional Coordination, Gitlab, Competitive Analysis, Performance Testing, Time Management, Git, Flutter, Dart, C#, ASP.NET, C++, Java, TeamDynamix, Python (Programming Language), C (Programming Language), Arduino, Arduino IDE

Experience

Performance Engineer

NVIDIA

2026-1 - Present · 9 mos

RTX AI PC & LLMs

Vice President

GDSC

2024-8 - 2025-5 · 10 mos

Performance Engineer Intern

NVIDIA

2024-5 - 2025-1 · 9 mos

Santa Clara, California, United States

GeForce Performance Lab | Developed Automation & Tested NVIDIA's Prereleased Consumer Graphics Cards • Developed automated competitive analysis scripts using Python and Selenium to benchmark GenAI websites such as DALLE, Meta.AI, and Midjourney, resulting in hundreds of hours saved for the marketing team, who were previously forced to conduct this analysis manually. • Collaborated in the maintenance and debugging of existing automated competitive analysis scripts using Python and Selenium, ensuring the operational integrity of existing scripts for TripoAI and Meshy. • Administered and analyzed performance data for the NVIDIA GeForce RTX 4070’s switch from GDDR6X to GDDR6, delivering crucial insights to the marketing team before the product’s public release; the data was crucial in confirming that the performance detriment was negligible. • Conducted comprehensive performance assessments for various gaming titles using NVIDIA desktop GPUs, measuring key metrics like frames per second (FPS) to identify bottlenecks and optimize gaming performance. • Authored 25 comprehensive reports on GPU benchmark performance, detailing key metrics such as FPS and PC Latency for dozens of titles, which were used to guide product optimizations and client-facing reports. • Managed the end-to-end process of benchmarking GPUs, from data collection and validation to writing performance reports, which provided actionable insights into product performance and competition.

Software Engineer Intern

County of San Joaquin

2023-7 - 2024-4 · 10 mos

Stockton, California, United States

Innovation & Digital Services Team | Developed Mobile and Web Applications • Developed cross platform phone directory mobile app using Flutter (Dart) for department executives to improve interdepartmental communication between 24 executives, integrating Azure AD for authentication. • Developed JMeter test plans and Playwright scripts to efficiently load test PeopleSoft timesheets in use by 7000 county employees at no cost, replacing a $30,000 LoadRunner license. • Developed React.js web application to optimize yearly auditing of over 350 county department systems for Senate Bill 272, eliminating the existing tedious exchange of spreadsheets between dozens of auditees that spanned months.

Education

University of the Pacific

Computer Science

2022-8 - 2025-5 · 2 yrs 10 mos

GPA: 3.98. Summa Cum Laude. One class away from valedictorian. Graduated in 3 years (2.5 yrs + 0.5 yrs for internship). Google Developer Student Club - Vice President (May 2024 - May 2025) Google Developer Student Club - Member (Aug 2022 - May 2024) UOP Solar Car Project - Telematics Team Member (Aug 2022 - May 2023)