Hanjin bae biography
Korea Institute For Advanced Study(KIAS)
Visiting Scientist • June, 2023 — Present
Currently researching domain parsing issues using PLM and managing the Protein Database with cloud system.
LLM Research and MLOps Engineer • October, 2023 — Present
Spearheading cutting-edge research in language model algorithms and overseeing the deployment of machine learning operations. Focused on enhancing model performance and operational efficiency, contributing to the development of scalable AI solutions.
Sungkyunkwan University, Computational Biophysics lab
Research Assistant (RA) • June, 2023 — Present
Sungkyunkwan University(SKKU)
Department of Physics & Sofware • 2020 — Present (as of the last update in 2023)
- GPA: 4.37/4.5
- Top 4% Academic Scholarship for Fall Semester 2023
- Top 10% Academic Scholarship for Spring Semester 2023
CASP16 (DeepFold group)
Co-First Author • August, 2023 — December, 2024
Achieved 3rd place in the Antibody/Peptide category. Developed plmMSA, a fast and diverse multiple sequence alignment tool utilizing a Protein Language Model.
LLaMa Inference Acceleration
Team Leader • August, 2023 — October, 2023
Served as Team Leader in the 2023 Samsung Computer Engineering Challenge, addressing the challenge of accelerating LLaMa inference. My role encompassed the leadership and direction of the team's efforts in developing and integrating Kernel Fusing techniques. I was also responsible for orchestrating the Scheduler to ensure efficient task allocation and execution. The project culminated with me leading the final evaluation to assess our project's performance and deliverables.
Cafe Management Platform
Lead Developer • March, 2023 — June, 2023
As the Lead Developer for a cafe management platform designed for cafe operators, I was responsible for the comprehensive development of the platform. This included constructing the database, building APIs, designing and implementing the frontend, and designing the network architecture for application serving.
SW Expert Training Program Healthcare Project
Lead Developer • January, 2023 — March, 2023
As the Lead Developer for the SW Expert Training Program's Healthcare Project, I was tasked with implementing MLOps using TFX. My responsibilities included frontend design, database architecture and construction, API development, and deploying services using a Kubernetes environment. Additionally, I managed the network infrastructure setup and oversaw the overall development process.
PyTorch Multi-GPU LLM Training & Kernel Fusing
Familiar with using PyTorch for training Large Language Models across multi-GPU environments, emphasizing efficient resource utilization. Knowledgeable in applying kernel fusing techniques to enhance performance of deep learning models on complex hardware setups.
Cloud-Based Web and Database Development
Experienced in developing web applications and managing databases on cloud platforms. Proficient in deploying and maintaining scalable web solutions.
Samsung Computer Engineering Challenge 7th place
Samsung Advanced Institute of Technology • 2023
Secured the 7th place in the Samsung Computer Engineering Challenge for accelerating inference in LLM models within a multi-GPU environment.
SW Expert Training Program Grand Prize (Overall 1st Place)
IITP(Institute for Information & communication Technology Planning & evaluation) • 2023
Achieved 1st place in the SW Expert Training Program for outstanding performance in a company-led project.
SW Expert Training Program Popularity Award
IITP(Institute for Information & communication Technology Planning & evaluation) • 2023
Won the Popularity Award in the SW Expert Training Program by securing a high number of votes in a company-led project.
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