Na Li - Senior Software Engineer at Google

Na Li

Senior Software Engineer at Google

San Francisco, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Na Li is a Senior Software Engineer and engineering leader based in San Francisco with 10 years of experience building scalable web and client-side ML systems. At Google she has driven TensorFlow.js development—implementing and optimizing WebGL kernels, tooling, and model integrations to enable low-latency, privacy-preserving ML in the browser. Her background spans full-stack product delivery (from AdMob’s Flutter app and Walmart eCommerce front-ends to research-grade online learning platforms developed at Harvard), combining production engineering with research rigor from a PhD in Information Sciences and a bachelor’s in Electrical Engineering. An active open-source contributor to flagship TensorFlow.js repos, she implemented advanced ops like NonMaxSuppressionV5 and upgraded pretrained models, showing attention to both API design and node-native performance. Known for turning ambitious visions into shipping products, she equally champions developer ergonomics and production reliability. She still maintains and supports systems she built years earlier, reflecting a long-term ownership mindset.

9 years of coding experience

6 years of employment as a software developer

PhD, Information Sciences and Technology, PhD, Information Sciences and Technology at Penn State University

Bachelor’s Degree, Electrical Engineering, Bachelor’s Degree, Electrical Engineering at Shanghai Jiao Tong University

Chinese, English

Github Skills (13)

model-building10

tensorflowjs10

machine-learning10

javascript10

modeling10

model-driven10

model-driven-development10

deep-learning9

typescripts8

typescript8

typescript-types8

gpu-acceleration7

webgl7

Programming languages (5)

TypeScriptCSSCJavaScriptPython

Github contributions (5)

tensorflow/tfjs

Dec 2019 - Oct 2022

A WebGL accelerated JavaScript library for training and deploying ML models.

Role in this project:

Back-end Developer & ML Engineer

Contributions:14 releases, 769 reviews, 302 commits in 2 years 10 months

Contributions summary:Na implemented the NonMaxSuppressionV5 operation, adding support for the softNmsSigma parameter. They also added documentation comments for the new parameter in the image_ops.ts. Furthermore, the user refactored the NonMaxSuppressionV3 and NonMaxSuppresionV5 APIs into two distinct APIs. They also added a new op for V5 in tfjs-node.

deployingjavascript-librarygpu-accelerationml-modelswebgl

tensorflow/tfjs-models

Jan 2020 - Nov 2021

Pretrained models for TensorFlow.js

Role in this project:

Full-stack Developer

Contributions:1 release, 307 reviews, 124 commits in 1 year 10 months

Contributions summary:Na primarily contributed to the development of pretrained models for TensorFlow.js. Their work included fixing issues related to property renaming and chained operation usage within the model code. They also upgraded and integrated new versions of the models, such as upgrading PosNet and face landmark detection, while addressing related issues. Furthermore, they updated the project dependencies to the latest versions of TensorFlow.js.

javascriptmachine-learningpretrained-modelstensorflowtensorflow-js

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