Jihoon Kim
AI Research Engineer, AI Lead at Cinamon
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolJihoon Kim is an AI research engineer and lead based in Seoul with 11 years of experience focused on generative AI and human motion synthesis. He has progressed from machine learning scientist roles to leadership at Cinamon, with research stints at Kakao Brain and industry experience applying ML in product settings. Jihoon pairs strong academic foundations—a MS in Artificial Intelligence and a summa cum laude BS in Electronic Engineering—with hands-on engineering, exemplified by Python implementations of data structures and algorithms on his GitHub. He is comfortable moving ideas from research prototypes to production-ready systems and often bridges deep learning research with practical backend development. Notably, his background includes non-traditional industry experience in commercial underwriting, which contributes to a pragmatic, risk-aware approach to model design and deployment.
11 years of coding experience
4 years of employment as a software developer
Electrical and Computer Engineering, Electrical and Computer Engineering at Drexel UniversityMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Korea UniversityBachelor of Science - BS, Electronic Engineering, Summa Cum Laude, Bachelor of Science - BS, Electronic Engineering, Summa Cum Laude at Hanyang University
Github Skills (8)
stack10
data-structures10
algorithms10
linked-list10
python10
data-structure10
queue10
oop9
Programming languages (4)
Github contributions (5)
jihoonerd/Data_Structures_and_Algorithms_in_Python
May 2017 - Nov 2022
:book: Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️
Role in this project:
Back-end Developer
Back-end DeveloperContributions:160 commits, 51 PRs, 198 pushes in 5 years 7 months
Contributions summary:Jihoon contributed solutions to data structures and algorithms problems in Python, providing implementations for stacks, queues, and other data structures. Their work included modifying the implementation of array stacks for a limited capacity, as well as creating classes for implementing the Doubly Linked List and various Queue versions. Furthermore, the user solved problems from different chapters from the book.
data-structuredata-structurespython
jihoonerd/ProbabilisticDL
Jan 2021 - Feb 2023
Contributions:42 commits, 47 PRs, 54 pushes in 2 years 1 month
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