Alan C
Senior Software Engineer at Google
New York City Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolAlan C is a Senior Software Engineer with 11 years of experience building and shipping large-scale ML and systems infrastructure across Google and TensorFlow, now working on speech recognition in the New York City area. He has driven on-device and server-side model deployment work that improved translation and speech quality for billions of devices and helped formalize processes that removed multi-week launch delays for Search. As an early contributor to tensorflow/model-optimization he authored pruning tests and APIs that supported model compression and quantization efforts used across products. Comfortable bridging research, product, and engineering, he repeatedly translates requirements into pragmatic system designs and TPU/hardware requests to enable measurable quality and performance gains. Beyond engineering, he mentors teams and codifies launch and metric practices that reduced complexity and sped experimentation.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Electrical Engineering and Computer Science, Bachelor of Science (B.S.), Electrical Engineering and Computer Science at Massachusetts Institute of TechnologyHigh School, High School at Acton-Boxborough Regional High School
English, Chinese, Spanish
Github Skills (9)
keras10
pruning10
machine-learning10
tensorflow10
model-compression10
python9
deeplearning-ai9
deep-learning9
testing8
Programming languages (3)
Github contributions (5)
tensorflow/model-optimization
Apr 2019 - Oct 2020
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Role in this project:
ML Engineer
ML EngineerContributions:10 releases, 46 reviews, 169 commits in 1 year 6 months
Contributions summary:Alan's initial contribution involved the first opensource commit of a pruning library, indicating a key role in the model optimization project. The code changes involved implementing unit tests for the Keras pruning API. This indicates a focus on developing and verifying the functionality related to model compression techniques like pruning.
ml-modelspythonquantized-networkstensorflowsparsity
alanchiao/6.857-Javascript-SC-Attack
Apr 2015 - May 2015
Contributions:20 commits, 13 pushes, 1 branch in 18 days
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