Sangjin Sim

Sangjin Sim is a Machine Learning Engineer at NAVER Corp since April 2018, specializing in the development and deployment of analysis and prediction models leveraging conversational data, including technologies like FFN, BERT, and GPT-based models. Prior experience includes roles as a Senior Research Engineer at KOAST, where Sangjin focused on algorithms for pressure distribution analysis, and as an Associate Research Engineer at TGENS, contributing to the nPLET iBT server project. Earlier roles included research positions at 고등과학원, developing programs for protein structure prediction, and at Digitalaria, where Sangjin implemented an internet protocol for mobile application authorization. Academic credentials include a Master's degree in Physics from Hanyang University.