Nathan Oh
Software Engineer - Full Stack at Capital One
Ashburn, Virginia, United States
Summary
👤
Senior🎓
Top SchoolNathan Oh is a Full-Stack Software Engineer with nine years of experience building product-focused systems, currently contributing to Capital One’s engineering efforts from Ashburn, VA. He blends backend systems expertise with product-minded full-stack delivery, having worked across telecom research, embedded AI at Origin Wireless, and systems engineering at Hughes. His academic background—an MS in Telecommunications and a BS in Computer Science plus business studies—gives him a cross-disciplinary edge in both technical design and product strategy. Comfortable moving between research and production, he has a track record of turning signal-processing and systems research into deployable software. Not obviously typical: his early business and international-exchange experience informs pragmatic stakeholder communication and global collaboration.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Telecommunications (Electrical and Computer Engineering), Master of Science - MS Telecommunications (Electrical and Computer Engineering) at University of MarylandBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at SKK GSB Sungkyunkwan UniversityExchange Student International Business, Exchange Student International Business at Haaga-Helia University of Applied Sciences
Korean, English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
computer-vision8
object-detection7
deep-learning6
linux6
darknet6
yolov46
neural-network5
pytorch5
windows5
yolov54
deep-neural-networks4
Programming languages (3)
Github contributions (5)
seungwonoh5/Lung_Cancer_Subtype_Classification
Mar 2017 - Feb 2021
Contributions:78 pushes, 3 branches in 3 years 10 months
seungwonoh5/object_detection_universal_adversarial_perturbations
Sep 2020 - Oct 2021
Official implementation of "Resilience of Autonomous Vehicle Object Category Detections to Universal Adversarial Perturbations"
Contributions:24 commits, 1 PR, 20 pushes in 1 year
pytorchautonomousadversarial-perturbationsdeep-learningadversarial
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