Hyeonseo Jang
M-commerce Marketer at Lotte Home Shopping Inc.
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolHyeonseo Jang is an AI-savvy m-commerce marketer with 10 years of experience blending technical understanding and business strategy across AI, semiconductor, and retail domains. She has driven market analysis and go-to-market planning for global AI and NPU initiatives, led cross-border co-marketing with Qualcomm, and shaped investor-facing narratives while supporting Nota AI’s IPO materials. Comfortable with data, she holds SQLD certification and has performed SQL-based analyses for corporate clients including Samsung and Chanel, plus contributed backend mesh-refinement code to the popular trimesh Python library. Bilingual and internationally educated, she combines humanities and business studies with hands-on product and marketing execution to identify practical opportunities at the intersection of technology and market needs.
10 years of coding experience
학사, 국어국문학 / 경영학, 학사, 국어국문학 / 경영학 at Sogang University학사, Business Administration, 학사, Business Administration at Arizona State University
English, Korean
Github Skills (11)
triangle10
mesh10
geometry10
triangulation10
triangular10
python10
numpy10
data-structure9
algorithm9
data-structures9
algorithms9
Programming languages (5)
Github contributions (5)
mikedh/trimesh
May 2022 - Nov 2022
Python library for loading and using triangular meshes.
Role in this project:
Backend Developer
Backend DeveloperContributions:15 commits, 2 PRs, 4 comments in 6 months
Contributions summary:Hyeonseo primarily contributed to the `trimesh` Python library, focusing on mesh manipulation functionalities. Their work included adding and refining loop subdivision algorithms, a core feature for mesh refinement. They also integrated the loop subdivision into the `Trimesh` class and improved existing code through bug fixes, and documentation updates.
python-librarymeshpythontriangular-meshesmeshes
gud2great/unistclub
Apr 2017 - Jul 2017
Contributions:83 commits, 47 PRs, 58 pushes in 3 months
unistweb-application
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