I'm a specialized backend developer with proven expertise in ML-driven production systems, focusing on end-to-end machine learning pipelines from advanced data preprocessing and precision labeling to model performance optimization. With strong proficiency in Python and Java, I've successfully led high-impact projects including real-time security threat detection systems and AI-powered lost item tracking solutions that demonstrate both my technical depth and leadership capabilities in solving complex problems.
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First Author of 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. Developed a system achieving 0.995 mAP50 and 0.96 mAP50-95 performance metrics for real-time lost item tracking in transportation environments. -
2024 Open Source Contribution (Raftify Project Mentee)
Contributed to the Raftify project, enhancing distributed consensus algorithms via Raft and deepening my expertise in Rust programming and distributed systems. -
Pseudo Lab (Community Member)
Active member of a non-profit research community focused on machine learning/data science, contributing to collaborative projects and studies while building a culture of continuous growth. Participated in knowledge sharing initiatives that foster both individual and community development through the resonance created by an ensemble of growth. -
DND IT Club (12th Generation Member)
Collaborated on tech projects, refining my backend engineering and web development skills in a dynamic, team-oriented environment.
