Sung Hwang
Group Product Manager - AI ML Care Orchestration
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolSung Hwang is a product leader with 10 years of experience building AI/ML-driven healthcare products that improve clinical outcomes and business metrics. Currently Group Product Manager leading care orchestration at Spring Health, he has shipped ML recommendation systems and models that boosted therapy conversion, care retention, and generated multi-million dollar annualized revenue. He blends hands-on engineering roots with product strategy—having been a founding engineer and manager who improved search and booking conversion at Headway and Zocdoc—and routinely partners with cross-functional teams to operationalize algorithms in clinical workflows. Sung also contributes to the PyTorch Korean tutorials, showing a commitment to making ML accessible across languages and communities.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.), Computer and Information Sciences and Finance, Bachelor of Science (B.S.), Computer and Information Sciences and Finance at University of PennsylvaniaBachelor of Science (B.Sc.), Finance, Bachelor of Science (B.Sc.), Finance at The Wharton School
English, Korean
Stackoverflow
16reputation
1kreached
1answer
0questions
Github Skills (9)
user-manual10
pytorch10
learn-ruby-on-rails10
basics10
translation10
k10
restructuredtext9
documentation8
ibm-cloud6
Programming languages (5)
Github contributions (5)
PyTorchKorea/tutorials-kr
May 2018 - Dec 2019
🇰🇷파이토치에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)
Role in this project:
Technical Writer
Technical WriterContributions:13 commits, 2 PRs, 13 pushes in 1 year 7 months
Contributions summary:Sung primarily contributed to the repository by translating PyTorch tutorials from English to Korean. Their commits involved modifying files, focusing on completing the initial translation of various tutorials. The user also made corrections to the translations, demonstrating a focus on accuracy and clarity in the Korean language version. This work involved restructuring and adapting the existing tutorial content for Korean readers.
pytorchnlpkorean-docsdeep-learningtranslation
adonisues/axiv-starcraft2
Oct 2017 - Oct 2017
Contributions:5 pushes, 1 branch in 1 day
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