United States
I’ve spent my career working on AI infrastructure, performance optimization, and GPU technologies, most recently at Meta and earlier at Intel. My focus has always been on making systems run more efficiently, reliably, and at scale What I’ve learned over the years is that it’s not just about solving technical problems it’s about creating solutions that really last and make a difference
Responsible for improving the efficiency of AI infrastructure and the reliability of account access system
Optimize the training efficiency and performance of advertising machine learning models, and develop performance modeling and capacity planning tools to improve data center computing utilization
Optimize and integrate with frameworks to improve the performance of frameworks such as MXNet on Intel hardware
Explore early machine learning model acceleration methods. Mainly responsible for performance analysis and optimization tool development
Promote the application of ray tracing in the graphics industry
Responsible for real time rendering and physical simulation functions. Write and optimize shaders to improve operating efficiency