Frank (Ziliang) Wang
About Frank (Ziliang) Wang
Frank (Ziliang) Wang serves as the Director at Ampere in Shanghai, China, a position he has held since 2019. With extensive experience in engineering and software performance, he has previously worked at Intel and Linaro, contributing to various projects in cloud native software and infrastructure performance.
Work at Ampere
Frank Wang has served as Director at Ampere since 2019, contributing to the company's initiatives in Shanghai City, China. His role involves overseeing projects that focus on optimizing cloud native software performance, particularly in container runtime environments. Wang's expertise in infrastructure software performance enhances the company's capabilities in the Arm ecosystem.
Previous Experience at Intel
Frank Wang has held multiple positions at Intel over a span of several years. He worked as a Software Engineer from 1999 to 2001, followed by roles as Engineering Manager for Server OS in various capacities from 2001 to 2016. His responsibilities included performance scalability and mission-critical kernel development. Wang's extensive experience at Intel provided him with a strong foundation in software engineering and performance optimization.
Experience at Linaro
From 2016 to 2019, Frank Wang was the Senior Director of Technology/Engineering at Linaro. During his tenure, he focused on enhancing collaboration within the Arm ecosystem and contributed to various engineering initiatives. His leadership in this role helped advance technology solutions relevant to the industry.
Education and Expertise
Frank Wang studied at Fudan University, where he earned both his Bachelor's and Master's degrees in Computer Science from 1990 to 1997. His educational background laid the groundwork for his deep understanding of infrastructure software performance and cloud native software optimization. Wang possesses skills in business development, enabling effective collaboration across the Arm ecosystem.
Technical Skills and Focus Areas
Frank Wang has comprehensive engineering skills that encompass IoT, edge computing, AI/ML, and enterprise server performance optimization. He specializes in enhancing big data performance using technologies like Hadoop and has expertise in optimizing software stacks for aarch64 and Ampere architecture. His focus on cloud native software performance is particularly relevant in today's technology landscape.