Fang Liu
Software Engineering Manager at Google
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolFang Liu is a software engineering manager with eight years of leadership experience currently shaping Google Play's storefront search experience from the San Francisco Bay Area. Previously at Uber he built and led Help Intelligence & Discovery, pioneering predictive and proactive support systems and contributing to critical compliance processes and new product teams like Uber Freight. His engineering roots span low-level systems and drivers at Intel, AMD, and MoSys, with open-source contributions to Intel graphics compiler and media driver projects that reflect deep expertise in compiler optimization and hardware-aware performance. Fang combines product-minded management with hands-on systems craftsmanship and executive education in leadership and strategy, making him equally fluent in technical tradeoffs and organizational outcomes.
8 years of coding experience
15 years of employment as a software developer
MS, PHD, Electrical and Computer Engineering, MS, PHD, Electrical and Computer Engineering at Duke UniversityUber Leadership & Strategy Program by Prof. Frances Frei, Uber Leadership & Strategy Program by Prof. Frances Frei at Harvard Business School Executive EducationBachelor of Science (BS), Electronic Engineering, Bachelor of Science (BS), Electronic Engineering at Tsinghua UniversityWuxi No 1 Senior High School
English, Chinese, German
Github Skills (11)
compiler-optimization10
kernel10
memory-management10
c-language10
driver10
cprogramming-language10
hardware-acceleration10
kernel-mode10
graphic10
intel-media-sdk9
computation8
Programming languages (2)
Github contributions (5)
intel/intel-graphics-compiler
Jan 2020 - Jan 2023
Role in this project:
Back-end Developer
Back-end DeveloperContributions:181 commits, 1 PR in 3 years
Contributions summary:Fang contributed code that added an option to disable instruction debug information and modified code related to emitting assembly code and handling instruction information within the Intel Graphics Compiler. They also made changes to the VISA options to include a setting for disabling instruction debug information. The contributions indicate a focus on compiler optimization and controlling the level of detail in generated assembly code, particularly related to debugging.
intel/media-driver
Mar 2018 - Nov 2019
Intel Graphics Media Driver to support hardware decode, encode and video processing.
Role in this project:Back-end Developer
Back-end DeveloperContributions:38 commits in 1 year 7 months
Contributions summary:Fang primarily contributed to the Intel Graphics Media Driver, focusing on low-level driver and hardware-related code. Their work includes implementing and modifying features related to dynamic state heaps, memory allocation, and kernel management within the driver. They also addressed issues related to GPU copy operations and 3D sampler regressions. Furthermore, the user added compute walker and improved cm capabilities.
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