About
I’m a software engineer at NAVER LABS, building integrated systems for robot operation and management. I focus on scalable monitoring, control, and orchestration tools that make complex robotic systems easier to operate and understand. Previously at CLOVA, I led the development of visualization tools and web interfaces in a machine learning platform for model training and experiment tracking. I develop scalable, user-centered visual interfaces that convert complexity into reliable insight, strengthening usability, oversight, and trust in technology, robotics, and AI.
Work Experience
- - Contributed to front-end development for a cloud robot operation/management platform and delivery service applications —building monitoring, visualization, and control UIs with multi-site/multi-building and i18n support.
- - Developed and maintained a Backend for Frontend (BFF) for robot monitoring/services, unifying state query/subscription flows and simplifying client-facing APIs.
- - Implemented caching and performance improvements across client and BFF layers (batching, memoization, payload shaping, render/animation architecture).
- - Contributed to data modeling and schema governance: domain/status mappings, Liquibase-based schema versioning, DB migration, and query optimization.
- - Lead the development of visualization tools and web interfaces for a machine learning platform.
- - Built interactive visualization systems related to machine learning domain (e.g., experiment tracking, model comparison, and optimization workflows, observation for large-scale HPC clusters and LLM model training)
- - Published research papers related to ML platform usability and visualization-driven workflows.
- - Developed a design system and component library to ensure UI consistency, reuse, and faster delivery.
- - Developed data visualization modules for car racing data analysis
- - Created interactive interfaces for reviewing and analyzing driving records
Education
KAIST (Korea Advanced Institute of Science and Technology)
M.S. in Graduate School of Culture Technology (Social Computing)
2016 - 2018
Ajou University
B.S. in Digital Media of College of Information and Technology
2010 - 2016
University of Nevada, Las Vegas
Visiting Scholar in College of Engineering
2015 - 2015
Publications
HPCClusterScape: Increasing Transparency and Efficiency of Shared High-Performance Computing Clusters for Large-scale AI Models
Heungseok Park, Aeree Cho, Hyojun Jeon, Hayoung Lee, Youngil Yang, Sungjae Lee, Heungsub Lee, and Jaegul Choo
IEEE Visualization in Data Science, In Proc. IEEE VIS 2023
HyperTendril: Visual Analytics for User-Driven Hyperparameter Tuning of Deep Neural Networks
Heungseok Park, Yoonsoo Nam, Ji-hoon Kim, and Jaegul Choo
IEEE Transactions on Visualization and Computer Graphics, In Proc. IEEE VIS 2020 (VAST, acceptance rate: 24.8%)
VisualHyperTuner: Visual Analytics for User-Driven Hyperparameter Tuning of Deep Neural Networks
Heungseok Park, Jinwoong Kim, Minkyu Kim, Ji-hoon Kim, Jaegul Choo, Jung-Woo Ha, and Nako Sung
In Proc. International Conference on Machine Learning and Systems (MLSys)
CHOPT: Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms
Jinwoong Kim, Minkyu Kim, Heungseok Park, Ernar Kusdavletov, Dongjun Lee, Adrian Kim, Ji-Hoon Kim, Jung-Woo Ha, and Nako Sung
arXiv
NSML: Meet the MLaaS platform with a real-world case study
Hanjoo Kim, Minkyu Kim, Dongjoo Seo, Jinwoong Kim, Heungseok Park, Soeun Park, Hyunwoo Jo, KyungHyun Kim, Youngil Yang, Youngkwan Kim, Nako Sung, and Jung-Woo Ha
arXiv
What makes a Successful Course at MOOCs? The Effects of the Structural Positions in Review Networks on the Course's Popularity and Satisfaction
Heungseok Park and Wonjae Lee
Master Thesis
NetSet: A Systematic integration of visualization for analyzing set intersections with network
Heungseok Park, Hongjun Lim, Wonjae Lee, and Kyungwon Lee
In Proc. IEEE Pacific Visualization Symposium (PacificVis)
Extracting Placeness from Social Media: an Ontology-Based System
Jee Jung Choi, Jungmin Kim, Heungseok Park, and Wonjae Lee
In Proc. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
Interactive Visualization for Analyzing Sets in Large Networks
Heungseok Park, Hongjun Lim, and Kyungwon Lee
Poster, IEEE VIS Conference, Visualization in Data Science (VDS) Symposium
Talks & Presentations
![[TechTalk] Introduction to Visual Analytics for Machine Learning (Korean) thumbnail](/_next/image?url=%2Fimages%2Fthumbnails%2Ffe_devtalk_automl.png&w=1920&q=75)
Patents
Tuning Algorithm Aware Visualization Method For Analyzing And Adjustment Hyperparameter Optimization Process Of Machine Learning Models
Heungseok Park, Ji-Hoon Kim, and Jaegul Choo, Korea Patent 10-2560042
2023
Apparatus and Method for Interactive Visualization for Analyzing Sets in Large Networks
Heungseok Park, Hongjun Lim, and Kyungwon Lee, Korea Patent 10-1710606
2017