I'm a specialized ML Engineer with proven expertise in AI-driven production systems, focusing on end-to-end machine learning pipelines from advanced RAG architectures and generative AI services to financial analysis agents. With strong proficiency in Python, Java, and Rust, I've successfully contributed to open-source ML frameworks, Korean AI evaluation benchmarks, and sector analysis systems that demonstrate both my technical depth and collaborative capabilities in solving complex AI challenges.
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2025 SK DEVOCEAN OpenLab Research
Selected participant in "Advanced RAG Technique 기반 생성형AI 서비스 개발에 대한 연구" focusing on enhancing generative AI services through advanced Retrieval-Augmented Generation techniques. Contributing to cutting-edge research in production-level AI systems. -
2025 Open Source Contribution (Hugging Face)
Contributing to Ko-AgentBench development and Transformers documentation translation, working on comprehensive evaluation frameworks for Korean AI agents and improving accessibility of ML resources for Korean developers. -
2025 Pseudo Lab 11th Generation (FinAgent)
Developing MarketAgent, an S&P 500 sector analysis and recommendation system that leverages macroeconomic indicators to identify promising quarterly investment sectors through AI-driven analysis. -
First Author Research Publication (2025)
Lead author of "Implementation of a Deep OC-SORT based Multi-Object Tracking and Matching Algorithm for Managing Lost Items and Owners in Trains" published in the KCI-indexed Journal of the Korea Institute of Information Technology. Achieved 0.995 mAP50 and 0.96 mAP50-95 performance metrics. -
2024 Open Source Contribution (Raftify)
Contributed to distributed consensus algorithms via Raft implementation, enhancing expertise in Rust programming and distributed systems architecture. -
DND IT Club (12th Generation Member)
Collaborated on full-stack development projects, including Picktory gift recommendation service with JWT authentication and QueryDSL-based data optimization.
