Yoon Park
Applied Research Scientist at Meta
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolYoon Park is an applied research scientist based in Sunnyvale with 11 years of experience blending rigorous PhD-level risk management research and hands-on machine learning engineering. Currently at Meta after roles at Amazon and several AI startups, Yoon focuses on computer vision solutions—ranging from behavioral cloning and lane detection to traffic-sign classification and fine-grained image recognition published at ICIP. Her background in auditing, forecasting, and data integrity drives a pragmatic emphasis on automation, scalability, and trustworthy pipelines. Comfortable moving models from research to production, she leverages deep learning architectures like Darknet-53, ResNet hybrids and attention-like modules to solve real-world driving perception problems. Colleagues describe her as a numbers-oriented researcher who seeks elegant, reproducible solutions that let people concentrate on higher-value work.
11 years of coding experience
1 year of employment as a software developer
Australian National UniversityMaster of Science - MS, Master of Science - MS at University of San Francisco
Github Skills (10)
pytorch10
fastai10
machine-learning10
deep-learning10
gpu10
python10
nbdev10
image-processing4
image4
neural-network1
Programming languages (3)
Github contributions (5)
YJAJ/Udacity_Self_Driving_Car_Engineer_Projects
Aug 2019 - Nov 2019
Contributions:45 commits, 41 pushes, 1 branch in 2 months
YJAJ/YJAJ.github.io
Feb 2018 - Oct 2022
Contributions:72 commits, 53 pushes, 1 branch in 4 years 8 months
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