I currently work at Databricks on caching and load balancing systems for stateful services. Prior to Databricks I was at Google where I worked on similar things and also led the Slicer team (https://lnkd.in/gRNkRAHr).

Experience

2023 — NowDatabricksSoftware Engineer

2023 — Now

Mountain View, California, United States

Work in caching, load balancing, and promoting stateful systems :)

2020 — 2023GoogleSoftware Engineer

2020 — 2023

Sunnyvale, California, United States

Worked on caching technologies.

Lead the Slicer team (https://lnkd.in/gRNkRAHr)

2018 — 2019OURS Technology IncSoftware Consultant

2018 — 2019

Santa Clara, California, United States

Advised hardware team on software issues related to accelerating neural networks on the hardware as well as booting and running Linux.

Modified RISC-V Linux kernel port and Spike RISC-V simulator to boot latest Fedora Linux distribution.

Designed and implemented software unit tests for processor MMU in C and assembly.

Researched size, performance, and accuracy of currently available convolutional neural networks.

2010 — 2010GoogleSoftware Engineering Intern

2010 — 2010

Developed open source prototype of MPLS router using NetFPGA-1G and commodity server hardware (https://tinyurl.com/2t6vmp2z).

2009 — 2009MicrosoftHardware Engineering Intern

2009 — 2009

Beijing City, China

Worked on the development of a new research platform for experimenting with hardware and software optimizations and features in solid state disk storage technology for data centers.

Performed a full analysis of system performance, then proposed and implemented several hardware/software optimizations for improving data transfer operations to flash memory, boosting overall bandwidth by 10x.