Changhyo Shon

• Managed and optimized vision inspection systems on electrode production lines to ensure defect-free output and consistent image quality.

• Supported process automation by calibrating camera parameters, maintaining lighting conditions, and tuning OpenCV-based algorithms used for surface defect detection.

• Collaborated with mechanical and control teams to improve sensor alignment and reduce false detection rates by ~20%.

• Analyzed production data and reported KPI trends to engineering management, contributing to continuous process improvement.

• Coordinated communication between local operators and Korean engineering headquarters regarding system updates and troubleshooting.

• Designed and implemented a web crawler using Python (BeautifulSoup, Requests) to collect resume and job listing data.
• Automated data storage and preprocessing in Excel/CSV format via Pandas workflows.
• Enhanced data pipeline reliability and reduced processing time by 40%.

• Conducted data crawling and analysis; applied machine learning for pattern discovery and visualization
• Insight from the data, Data refining, Linear algebra
• Data visualization, Statistics, Natural language processing, Machine learning

• Supported system enhancement that reduced internal payment API response errors by 10% through code review and integration testing.
• Helped streamline client SDK integration for 3rd-party partners (e.g., BBIK, RailPlus).
• Participated in the early-stage R&D of NFC-based microtransaction software, enhancing cross-platform compatibility.

• Taught introductory computer science courses focusing on C++ fundamentals and offered weekly debugging sessions