I'm currently working as a software engineer in Samsung Electronics, South Korea. My role is to build both frontend and backend systems for design verification automation platform. For frontend systems, I use Vue.js and Electron. For backend systems, I use Django REST framework and Object Relational Mapping (ORM) for different types of databases: Oracle DB and MongoDB. I am also involved in multiple machine learning projects with various structure of big data, such as time series data, log data, etc. For example, I developed a Double Deep Q Network (reinforcement learning) model and created an agent to make an optimal decision for resource management in digital design emulation. Nowadays, I am developing machine learning model deployment pipelines and systems.

My main interests are cooperative mobile computing and online learning on mobile devices for context-awareness of human activities. Multi-user activity recognition was one of my research in HCI/mobile healthcare lab under Prof. Ahyoung Choi, Gachon Univ., as an undergraduate research assistant. Specifically, I developed a system that automatically calculate table tennis scores based on multimodal data - accelerometer sensor, gravity sensor and audio data - from wearable devices and smartphones. This system was a novel architecture in that it didn’t require third-party entity for integrating data and processing algorithms. It was designed with a message passing architecture based on wireless network: WiFi-Direct.