Edward Hua

AI Researcher Project Lexington Hedgehog at Handshake

San Jose, California, United States
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Summary

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Edward Hua is an AI researcher and multimodal engineer based in San Jose with 11 years of technical experience, currently driving Project Lexington/Hedgehog at Handshake to build audio-visual-text systems. He combines a Business Management Economics background from UC Santa Cruz with hands-on machine learning work, contributing high-fidelity multimodal training data and improving speech and language recognition. On GitHub he focuses on computer vision and mobile deployment, notably adding and integrating lightweight pose-estimation models (mv2-cpm-224) for both Android and iOS, including CoreML support. Comfortable bridging product and research, he has experience from retail finance to fraternity leadership, demonstrating strong communication and team management across diverse groups. Colleagues describe him as quality-driven and willing to go beyond metrics to improve model performance. He’s particularly adept at turning research prototypes into mobile-ready models that run efficiently on-device.
code11 years of coding experience
job1 year of employment as a software developer
bookUniversity of California Santa Cruz
bookN/A N/A, N/A N/A at St. Francis High School, Mountain View
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Stackoverflow

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Github Skills (13)

convolutional-neural-networks10
tensorflow10
deep-neural-networks10
human-pose-estimation10
pose-estimation9
tflite9
ios8
coreml8
android-development8
android8
native-android8
python8
mobile-development8

Programming languages (5)

C++SwiftJupyter NotebookVim ScriptPython

Github contributions (5)

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:dancer: Real-time single person pose estimation for Android and iOS.
Role in this project:
userML Engineer
Contributions:61 commits, 7 PRs, 50 pushes in 1 year 4 months
Contributions summary:Edward primarily contributed to the development and integration of machine-learning models for pose estimation. They added a new model, "mv2-cpm-224," updated annotations, and integrated and updated various models for both Android and iOS, including models for CoreML. The commits include modifying code related to image classification, model loading, and integration within the Android demo application. The user demonstrated expertise in model management and deployment within the context of mobile applications.
person-pose-estimationpersonpose-estimationandroidestimation
edvardHua/Articles

May 2017 - Jun 2020

Contributions:10 commits, 8 pushes, 1 branch in 3 years 1 month
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