Austin Shin
Special Ops, Systems Integration Engineer
Rancho Cucamonga, California, United States
Summary
👤
Senior🎓
Top SchoolAustin Shin is a senior robotics and systems integration engineer with 11 years of experience building perception-driven medical and industrial automation systems. Currently at Petal Surgical, he specializes in bringing research-grade vision and control algorithms into production—translating PyTorch prototypes to TensorFlow, containerizing metric pipelines, and defining UI/UX-informed system requirements for clinical workflows. His background includes leading multi-view localization and deep-learning tracking efforts at Johnson & Johnson that achieved millimeter-level accuracy and high ID consistency, and developing real-time visual servoing and calibration solutions for surgical robotics. He blends hands-on software and algorithm development (ROS, C++, Python, PyTorch/TensorFlow) with user-centered evaluation, having run internal user studies and automated performance analysis to quantify tradeoffs between accuracy and usability. Based in Rancho Cucamonga, he pairs academic rigor from Johns Hopkins and Harvey Mudd with practical, deployment-focused engineering across regulated healthcare settings.
11 years of coding experience
4 years of employment as a software developer
Johns Hopkins UniversityBS, Engineering, BS, Engineering at Harvey Mudd College
Github Skills (18)
re-identification9
multi-object-tracking8
object-tracking8
computer-vision7
object-detection6
caffe6
deep-learning5
machine-learning5
semantic-segmentation5
unification4
gpu4
unsupervised-learning3
optical-flow3
pytorch3
self-supervised-learning2
Programming languages (3)
Github contributions (5)
shinaushin/Projection_Mapping
Feb 2019 - Mar 2020
Contributions:39 commits, 3 pushes in 1 year
shinaushin/practice_problems
Feb 2019 - Mar 2020
Contributions:17 pushes, 2 branches in 1 year
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