I'm an AI researcher and developer focused on advancing Protein Language Models (PLMs) by fine-tuning Large Language Models to understand the complex language of proteins. I'm also interested in multi-GPU computing to speed up AI workflows using advanced kernel methods.
Currently researching domain parsing issues using PLM and managing the Protein Database with cloud system.
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.
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.
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.
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.
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.
Experienced in developing web applications and managing databases on cloud platforms. Proficient in deploying and maintaining scalable web solutions.
Secured the 7th place in the Samsung Computer Engineering Challenge for accelerating inference in LLM models within a multi-GPU environment.
Achieved 1st place in the SW Expert Training Program for outstanding performance in a company-led project.
Won the Popularity Award in the SW Expert Training Program by securing a high number of votes in a company-led project.