Jaehyun Park
Product Manager at QueryPie
Hong Kong, China
Summary
🤩
Rockstar🎓
Top SchoolJaehyun Park is a product manager and data-focused technologist with 12 years of experience bridging economics, computer science, and product delivery from Hong Kong. Trained in Economics with a CS minor, he combines economic intuition with programming skills in Python and SQL to build data pipelines, visualizations, and ML-informed products. His background includes contributing to the well-known convex optimization library cvxpy—improving quadratic expression handling—which hints at deeper algorithmic and mathematical fluency beyond typical PM skillsets. He has hands-on experience across startups, finance, and platform programs, and served in the US Army KATUSA where he led community-facing communications under pressure. Currently at QueryPie, Jaehyun focuses on turning data efficiencies into user-facing features while staying agile to emerging technologies and ELT best practices. He is actively seeking roles where analytical rigor and product instinct drive measurable business impact.
11 years of coding experience
1 year of employment as a software developer
The Chinese University of Hong Kong (CUHK)
Github Skills (17)
algorithm10
algorithms10
graph-algorithms10
c-language10
python10
cvxpy10
convex-optimization10
data-structure10
mathematical-optimization10
data-structures10
quadratic-programming10
cprogramming-language10
scipy9
numpy9
modeling8
Programming languages (7)
Github contributions (5)
jaehyunp/stanfordacm
Jun 2014 - May 2018
Stanford ACM-ICPC related materials
Role in this project:
Back-end Developer
Back-end DeveloperContributions:62 commits, 13 PRs, 58 pushes in 3 years 11 months
Contributions summary:Jaehyun primarily contributed by implementing various data structures, specifically focusing on tree-based structures like Splay Trees. They also added code for graph algorithms, including Dijkstra's algorithm. Their contributions are centered around providing fundamental algorithmic tools and data structures, likely for problem-solving related to the repository's context. The user added supporting files to the notebook.
acmstanfordacm-icpcicpc
cvxpy/cvxpy
Jul 2014 - Mar 2017
A Python-embedded modeling language for convex optimization problems.
Role in this project:Back-end Developer
Back-end DeveloperContributions:57 commits, 7 PRs, 55 pushes in 2 years 8 months
Contributions summary:Jaehyun primarily contributed to the development of the `cvxpy` library, specifically focusing on enhancing its ability to handle quadratic expressions. Their commits include the addition of new functionality related to the `quadratic` branch, such as `is_quadratic` methods and support for affine times affine expressions. They also fixed quadratic detection issues within the library and provided updates to the installation documentation. These contributions indicate a focus on improving the core mathematical capabilities of the library.
pythonconvex-optimizationproblemsoptimizationconvex
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