AI researcher and full-stack software developer specializing in protein structure prediction, large language models, and end-to-end product development. Currently a Visiting Scientist at KIAS and running a freelance software development company serving clients such as DigitalScent and QuantumEye. Co-founder of mefriend.ai (300K+ users). My work spans deep learning research, cloud infrastructure, and production-grade software delivery — from kernel optimization and multi-GPU computing to frontend and backend development.
Currently researching protein 3D structure prediction using Protein Language Model and diffusion models, developing rapid MSA generation methods, and implementing ensemble prediction approaches while managing cloud-based protein databases.
Served as CTO (Oct 2023 – Dec 2025), spearheading research in language model algorithms and overseeing ML operations deployment. Secured government funding including the 2025 DIPS Project (Leading AI Startup, Ministry of SMEs and Startups), 2024 Youth Entrepreneurship Training Program (Ministry of SMEs and Startups), and won the 2024 SKKU Creative ICT Competition. Currently maintaining Co-founder title without involvement in decision-making.
Running an outsourcing software development company, delivering end-to-end solutions for clients. Current clients include DigitalScent (perfume blending kiosk system) and QuantumEye (vision-based solutions).
Bioinformatics
vol. 41, no. 11, pp. 1-13
(2025), Oxford University Press (OUP)
†Equal
contribution; *Corresponding
authors
An offline-first scientific writing workspace powered by Claude. Integrates LaTeX, Python, and 100+ scientific skills all running locally. Gained significant attention on GitHub (440+ stars) and ranked in the daily top 5 on Reddit's Claude Code and Claude community.
Co-founded an AI entertainment platform with 300,000 global users. As CTO (Oct 2024 – Dec 2025), led technical direction, core inference system development, and optimization. Currently maintaining Co-founder title without involvement in decision-making.
Developed EnsBolz, an ensemble generation tool utilizing Boltz. (selected for presentation at the LA Biophysics Society 2025)
Developed perfume blending and recommendation kiosk software. Handled design, planning assistance, data collection, frontend, and backend development end-to-end. Currently scheduled to open at Hyundai Department Store. Exhibited at CES.
Developing a vision model-based digital twin service for beverage refrigerators. Responsible for end-to-end development including model training, frontend, backend, and system integration.
Successfully led a comprehensive migration from CRA to Next.js with progressive enhancement framework. Implemented monorepo architecture enabling simultaneous web and mobile app development using Capacitor. Achieved significant performance improvements with Web Vitals score increasing from 30 to 80 points, and successfully launched both enhanced web and mobile applications.
Developed plmMSA, a fast and diverse multiple sequence alignment tool utilizing a Protein Language Model. Published in Bioinformatics. (Presented at CASP16 and LA Biophysics Society 2025)
Achieved 3rd place in the Antibody/Peptide category. Developed plmMSA, a fast and diverse multiple sequence alignment tool utilizing a Protein Language Model.
Led the development of AI speaker's inference system and complex intelligence components, focusing on optimizing model performance and implementing advanced conversational capabilities.
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.
Selected for the 2025 DIPS Project (Leading AI Startup in Korea)
Won the SKKU Creative ICT Competition for developing an AI speaker with the naly.ai team
Selected for the Youth Entrepreneurship Training Program, a prestigious government-backed initiative supporting young entrepreneurs
Selected as a speaker for the LA Biophysics Society 2025 to present research on complex ensemble generation using deep learning methods.
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.
Advanced expertise in distributed deep learning optimization using PyTorch's DDP and FSDP frameworks for large-scale language model training. Specialized in custom CUDA kernel fusion implementation for computational graph optimization, gradient accumulation strategies, and mixed-precision training with automatic loss scaling. Proficient in memory-efficient training techniques including gradient checkpointing, ZeRO optimizer states, and advanced tensor parallelism for multi-billion parameter models.
Advanced expertise in containerized application deployment using Docker and Kubernetes orchestration with production-grade cluster management. Specialized in GitOps workflows with ArgoCD for automated continuous deployment, implementing comprehensive CI/CD pipelines through Jenkins with integrated testing and security scanning. Proficient in agile project management using Jira and enterprise-level secrets management with Infisical for secure credential distribution across environments.
Expert in designing cost-efficient, scalable cloud infrastructures for startup environments. Specialized in AWS resource optimization using Reserved Instances, Spot Instances, and auto-scaling strategies. Proficient in implementing Infrastructure as Code (IaC) using Terraform/CloudFormation, and establishing comprehensive monitoring with CloudWatch and cost alerting systems for budget-conscious deployments.
Expert in modern frontend architecture using Next.js with SSR/SSG optimization, advanced React patterns including custom hooks and context management. Proficient in TypeScript for type-safe development and component libraries, with extensive experience in CSS-in-JS solutions and Tailwind CSS for scalable design systems.
Advanced cross-platform development using Capacitor framework with native plugin integration. Expertise in bridging web technologies to native iOS/Android APIs, implementing performance optimization strategies for hybrid applications, and managing platform-specific build configurations for production deployment.
Proficient in developing RESTful APIs using FastAPI and Express.js frameworks. Experienced in designing and managing both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases, with expertise in Prisma ORM for type-safe database operations.