CV

Open Source Contributor — LLVM (OSSCA 2026 Mentee)

Open Source Contribution Academy (OSSCA) — MSIT / NIPA, South Korea

Selected for the LLVM track of OSSCA 2026, contributing to LLVM — a large-scale, industry-wide open-source project — under maintainer mentorship. Focused on the real-world open-source contribution workflow and community collaboration, working toward first upstream contributions.

• Engaging with a large-scale, widely-used open-source C++ codebase — building from source and navigating an industrial-scale project structure.
• Learning the upstream contribution workflow end to end: issue tracking, patch preparation, and community code review under maintainer guidance.
• Building fluency with the collaboration practices behind major open-source projects (Git-based workflow, CI, and review etiquette).

My Awesome HomeLab

Designed and managed a personal home server infrastructure built on hypervisors (ESXi, XEN) to support private cloud services, AI research, and self-hosted applications. The HomeLab also serves as a deployment environment for various personal projects.

• Configured and maintained OpenMediaVault-based NAS with real-time PC synchronization
• Deployed Mattermost for internal messaging with domain routing, SSL, and Cloudflare Tunnel integration
• Implemented JupyterHub-based AI training server leveraging GPU passthrough
• Operated PhotoPrism for automated photo management and archiving
• Utilized the HomeLab to deploy and showcase results from various projects

TACTIX: RAG-based Aircraft Maintenance Support System

Built an AI-assisted system that enhances aircraft maintenance efficiency by integrating RAG with expert-rule reasoning, enabling technicians to quickly access and apply maintenance knowledge.

• Implemented RAG pipeline with vector DB for fast and accurate manual/document retrieval
• Integrated LLM with rule-based expert system to guide troubleshooting and procedures
• Designed secure, on-premise full-stack deployment (Frontend, Backend, GPU acceleration) for closed military networks

Moisam: Dormitory Group-Purchase Platform

Developed a closed web platform for Ajou University dorm residents to coordinate group purchases, focusing on database design and implementation.

• Designed relational schema and normalized tables (1NF→BCNF) for core entities such as Users, Posts, Participation, and Chat
• Implemented database-backed features including recruitment posts, participation tracking, comments, and real-time chat

Military Service, Systems Technician

Republic of Korea Air Force – 1MCRC (Master Control and Reporting Center)

• Provided maintenance and operation support for critical air defense communication and backup systems.
• Managed equipment essential to Anti-jamming Radio and command center operations.
• Performed system maintenance and troubleshooting on Linux/UNIX platforms.

Undergraduate Student

Ajou University

Software (major), Electronic Engineering (double major)

Busan il Science High School

Special Award - Regional Startup Solverthon Competition

Received the Special Award at the Regional Startup Solverthon Competition from the Director of the Seoul National University University Alliance Regional Talent Development Project Group.

Excellence Award - Sejong Big Data Analysis Idea Contest

Proposed a strategy to boost tourism by analyzing bus card data related to major festivals in Sejong City. Responsible for building a MySQL database with raw bus card data and performing SQL-based correlation and principal component analysis. Received the Excellence Award from the Mayor of Sejong.

Excellence Award - KEPCO KDN Innovation Idea Contest

Proposed an AI-based electric vehicle charging station management and optimal allocation system to support the acceleration of EV adoption. Received the Excellence Award from the President of KEPCO KDN.

Grand Prize - National Park Visitor Service Idea Contest

Suggested an AI-based national park recommendation system tailored to the rise in family-oriented travel. Received the Grand Prize from the Minister of Environment.

Special Award - Samsung Junior Software Creative Competition

Received a Special Award from Samsung Electronics for developing an application that helps quickly identify a patient's underlying medical conditions and guardian contact information during emergency situations.

Award - World Robot Olympiad

Awarded at The 20th International Robot Olympiad during high school.

Undergraduate Research Intern — ANNS Optimization

AISA (Accelerated Intelligent System and Architecture) Research Group, Ajou University

Advised by Prof. Young H. Oh. Researching system-level optimization of Approximate Nearest Neighbor Search (ANNS), the core retrieval workload behind vector databases and LLM RAG pipelines.

• Studying graph-based ANNS indexes (e.g., HNSW) and vector quantization to improve the throughput–recall trade-off under tight memory and latency budgets.
• Profiling ANNS workloads across the full system stack to pinpoint compute- and memory-bound bottlenecks.
• Benchmarking ANNS implementations on standard vector-search datasets to evaluate recall–QPS trade-offs.