Data Scientist (and is also MLOps Engineer)
Hello, I’m Jeeseung Han.
I’m a Data Scientist who studies object detection, and is also also a MLOps Engineer.
Education
- Master of Computer Science and Engineering (MCSE), Intelligent Data Systems Laboratory Seoul National University, Korea (2018~2020)
- Member of Intelligence Data Systems Laboratory
- Teaching Assistant of Graduate School Recommendation System 2020
- Bachelor of Computer Science and Engineering (BCSE), Konkuk University, Korea (2010~2016)
- President of the student council of Konkuk Information and Communications Undergraduate College
- Director of Information Technology, Konkuk Student Council
- Completed Cisco Certified Network Associate (CCNA) Routing and Switching: Introduction to Networks
- Leave of absence for military conscription, Republic of Korea Military Police (2014–2016)
Experience
- MLOps Engineer, Clova CIC, Naver Corporation (2020~now)
- Team Leader, Intelligence, Architect and Cloud DevOps Engineer, IntelliSys Corporation (2018~2020)
- Led packaging and installation of visual intelligence engine, including convert to Triton inference server for models
- Conducted research of fashion item detector for service based on DeepLab using PyTorch
- Implemented infrastructure using AWS Cloud, Kubernetes, Terraform
- Designed fashion AI inference system using PyTorch, RabbitMQ
- Instructed microservice architecture (MSA) for Fitzme service using Spring boot and Django
- Working scholars, Infra, Infrastructure network management, Zungwon Engineering & System, Inc. (2010-2012, 2016)
- Monitored network status for Konkuk University, including wireless access point activity
- Supported installation and set-up of routers and switches at newly constructed engineering building
- Assisted in network installation for student and special events
Publications
-
Intent-based Product Collections for E-commerce using Pretrained Language Models
Hiun Kim, Jisu Jeong, Kyung-Min Kim, Dongjun Lee, Hyun Dong Lee, Dongpil Seo, Jeeseung Han, Dong Wook Park, Ji Ae Heo, Rak Yeong Kim
2021 International Conference on Data Mining Workshops (ICDMW) -
Super-resolved Feature Based Object Detection For Small Things (SR-RCNN)
Jeeseung Han
Master Graduation thesis in College of Engineering Seoul National University 2020 -
Stochastic Relational Network
Kang Min Yoo, Hyunsoo Cho, Hanbit Lee, Jeeseung Han, Sang-goo Lee
The First Workshop on Statistical Deep Learning in Computer Vision 2019 (ICCV Workshop) -
A Deep Learning based Architecture for Personal A.I. Fashion Stylist Services
Sungchan Park, Jeeseung Han, Jun Yeob Kim, Holim Lim, Sungjun Kim, Jeawoong Jung, Eunyoung Park, Sang-goo Lee, Yuri Lee, Jong-Youn Rha
The 2nd Artificial Intelligence on Fashion and Textile International Conference (AIFT 2019) -
SisterNetwork: Enhancing Robustness of Multi-label Classification with Semantically Segmented Images
Holim Lim﹡, Jeeseung Han﹡, Sang-goo Lee
International Conference on Ubiquitous Information Management and Communication (IMCOM 2019), pp. 1092-1099