Jaebok Lee

Jaebok Lee

Research Assistant

Followers of Jaebok Lee115 followers
location of Jaebok LeeSeoul, South Korea

Connect with Jaebok Lee to Send Message

Connect

Connect with Jaebok Lee to Send Message

Connect
  • Timeline

  • About me

    Machine Learning Engineer, Samsung Research, Samsung Electronics

  • Education

    • Yonsei University

      2014 - 2020
      Bachelor of Science - BS Computer Science 4.07 / 4.3
    • Yonsei University 연세대학교

      2014 - 2020
      Bachelor's degree Economics 4.07 / 4.3
  • Experience

    • Nanyang Technological University Singapore

      Aug 2018 - Dec 2018
      Research Assistant

      • Korean Sentiment Resource KSenticNet for Sentiment Analysis (2018) - https://github.com/zzaebok/ksenticnet - Built Korean sentiment analysis resource, KSenticNet, by combining SenticNet framework and KAIST Korean WordNet, and released it as open-source

    • Samsung Electronics

      Jun 2019 - Aug 2019
      Research Engineer Intern

      • Battery SoC estimation (2019) - Developed battery State-of-Charge estimation model using LSTM, incorporating Monte Carlo Dropout for safety and reliability

    • Samsung Electronics

      Feb 2020 - now
      Machine Learning Engineer

      • Neural Machine Translation Model Development, Language Intelligence Team (2024) - Developed Galaxy on-device machine translation model with binary quantization, enhancing performance through back translation and knowledge distillation - Fine-tuned Samsung Gauss (LLM) for multilingual machine translation with preference optimization and LoRA• Knowledge Base Question Answering System, Data Analytics Lab (2023) - Developed natural language to SPARQL query translation model using constrained decoding - Collaboration with Samsung Mobile Experience division• Short-text Application Development, Data Research Team (2022) - Developed and deployed short-form text reading mobile application `Book-ing' aimed at improving adolescent literacy - Frontend development (Flutter) - Backend development (FastAPI, kubernetes, MongoDB, redis) - Collaboration with Samsung R&D Institute India-Delhi• Time-adaptive App Usage Prediction, Data Research Team (2021) - Designed time-adaptive app usage prediction algorithm by applying Graph Neural Networks on a user-specific app usage transition graph, enabling post-deployment adaptability - Collaboration with Samsung Electronics Mobile Division• Knowledge Graph based Explainable Food Recommendation Service, AI Service Lab (2020) - Developed knowledge graph-based explainable food recommendation service, an internal company tool that recommends cafeteria menus and explains reasoning behind user preferences - Backend API development (kubernetes, gRPC) Show less

  • Licenses & Certifications

    • CKA: Certified Kubernetes Administrator

      The Linux Foundation
      Jun 2023