Amanda Ye
Staff Image Scientist at OMNIVISION
United States
Summary
👤
Senior🎓
Top SchoolAmanda Ye is a Staff Image Scientist with nine years of experience applying deep learning and computer vision to real-time, edge-constrained imaging systems. She has led hybrid AI-ISP development and RAW-to-RGB neural pipelines for mobile cameras—covering white balance, tone mapping, and color correction—while optimizing models for deployment with PyTorch, ONNX and C/C++. With a PhD background in neuroengineering and training in self-driving perception, she blends rigorous research instincts with pragmatic engineering for embedded vision. At OmniVision she progressed from building face recognition and tracking pipelines to architecting production AI-ISP solutions, demonstrating a knack for translating academic methods into low-latency camera products. Her GitHub focus on video analytics reflects a broader interest in end-to-end visual systems that close the loop from capture to insight.
9 years of coding experience
7 years of employment as a software developer
Self-Driving Car Engineer (Pioneer Class), Computer Vision, Deep Learning, Robotics, Self-Driving Car Engineer (Pioneer Class), Computer Vision, Deep Learning, Robotics at UdacityDoctor of Philosophy (Ph.D.), Mechanical Engineering, Neuroengineering, Doctor of Philosophy (Ph.D.), Mechanical Engineering, Neuroengineering at National University of Singapore
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (36)
cross-domain10
metric-learning10
image-retrieval10
computer-vision8
re-identification8
weighted8
dataset-generation7
pytorch7
caffe7
tricks7
machine-learning7
face-recognition7
bag6
deep-learning6
coda6
Programming languages (3)
Github contributions (5)
amandayeyan/Pupil-Tracking-Project
Oct 2016 - May 2018
Contributions:28 commits, 2 PRs, 27 pushes in 1 year 7 months
amandayeyan/Udacity-CarND-LaneLines-P1
Nov 2016 - Nov 2016
Contributions:4 PRs, 14 pushes, 2 branches in 1 day
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