Ming Zhao
Engineer at Databricks
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolMing Zhao is an experienced engineer with 11 years building high-performance distributed systems, networking stacks, and AI-driven infrastructure across Google, Facebook, and Databricks. He has a strong track record in RPC and network performance optimization—leading Java RPC work at Google and reducing RPC traffic and CPU usage through targeted profiling and design. At Google Brain he scaled distributed reinforcement learning, and as Director of Engineering at Luminate Wireless he combined cloud-native networking with product-driven system design. Ming favors modular architecture and test-driven development, bringing pragmatic engineering discipline to both startup and large-scale environments. Based in Menlo Park, he pairs deep systems expertise with an eye for measurable performance gains and pragmatic feature delivery.
11 years of coding experience
18 years of employment as a software developer
BS, Computer Science, BS, Computer Science at Tsinghua University
Github Skills (139)
python10
data-interchange10
ruby10
protoc10
extensible10
cpp10
nosql10
ecosystem10
marshalling10
protocol-buffers10
starlark10
golang10
scalable10
protobuf10
grpc10
Programming languages (10)
Github contributions (5)
bazelment/lrte
Jul 2014 - Jun 2017
Build cross compiler(gcc,clang) for amd64 to allow multiple versions of glibc and toolchains
Contributions:2 releases, 70 commits, 1 PR in 2 years 11 months
compilerstoolchainsclangbazelgcc-compiler
mzhaom/grpc
Apr 2015 - Mar 2021
The C based gRPC (C++, Node.js, Python, Ruby, Objective-C, PHP, C#)
Contributions:7 pushes, 7 branches, 1 comment in 6 years
objective-ccpppythonc-nodenode-js
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