land
California, United States
Summary
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SeniorLingbo Zhang is a senior machine learning engineer and technical lead with a PhD in computational science and a decade of experience building high-performance systems at Google DeepMind and Google. He combines research-grade expertise in PDE solvers and numerical methods with practical ML and compiler development, having delivered production ML systems for abuse mitigation and content safety as well as core features in Gemini. Prior work includes JIT code generation with LLVM that accelerated SQL execution and a Fortran/Python solver that cut simulation times by an order of magnitude, reflecting a talent for squeezing performance from both algorithms and systems. Based in Cambridge, MA, he bridges deep technical research and product engineering, often translating complex numerical and compiler techniques into scalable, deployable solutions. An active developer across ML and compiler domains, he brings uncommon depth in both low-level optimization and large-scale ML productization.
10 years of coding experience
Github Skills (39)
abstract-syntax-tree9
activation-function9
parser9
sigmoid8
code-generator8
mean-square-error8
loss8
code-generation8
java8
javadoc8
capability7
parsing7
parser-generator7
code-analysis7
entropy7
Programming languages (2)
Github contributions (5)
lingbozhang/intellgraph
Apr 2019 - Dec 2020
IntellGraph is an abbreviation of Intelligent Graph. As the name indicates, the IntellGraph framework is developed for Artifical Intelligence and is abstracted based on Graph Theory. The project is still under development. In current version, users are able to use it for constructing fully connected deep neural networks with different activation and loss functions (e.g. sigmoid activation function, mean square error loss function, cross-entropy loss function, etc). Examples (in the example/ directory) are prepared to show the capability of the IntellGraph project and you are encouraged to study them before building your own neural networks.
Contributions:19 PRs, 47 pushes, 4 branches in 1 year 8 months
entropysigmoid-activationpreparedactivation-functionartifical-intelligence
lingbozhang/FEM-MFS
Mar 2016 - Nov 2017
Contributions:8 PRs, 55 pushes, 6 branches in 1 year 7 months
methodfinitefinite-element-method
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