Gangnam District, Seoul, South Korea
[2024.08 – Present] Hands-on Software Engineer with a strong focus on high-speed video processing, sensor integration, and real-time data analysis for commercial products. I lead the refactoring and ongoing development of a golf shot data analysis platform built with C# WPF (MVVM), integrating GigE Vision high-speed cameras and proprietary golf sensors. I take full ownership of the product lifecycle—from core architecture and implementation to deployment, auto-update infrastructure, and field stability. In addition, I designed and operated an AWS-based MSIX auto-update system, ensuring reliable delivery, version control, and maintainability in customer environments worldwide. My core strengths include deep learning–based video keypoint detection, modernization of legacy systems, and building robust, production-grade software that performs reliably under real-world constraints. [2020 – 2024] Software Engineer transitioning into Computer Vision and AI, with hands-on experience applying ML-based solutions to real-world data. • Developed and deployed computer vision and deep learning models using Python and C++ • Built and optimized AI inference pipelines using OpenCV on Linux (Ubuntu) • Applied CV/AI techniques to real sensor and video data, focusing on performance and practical usability Technologies: Python, C++, Deep Learning, Computer Vision, OpenCV, Linux [2006 – 2020] Software Engineer specializing in ASP.NET-based enterprise web applications. • Designed, developed, and maintained large-scale production systems using ASP.NET and C# • Built a strong foundation in debugging, problem solving, and long-term system maintenance • Supported and modernized legacy systems used in business-critical environments Technologies: ASP.NET 2.0 / 3.5 / 4.0, C#, LINQ, JavaScript, CSS, HTML, SQL Server Certification: Microsoft Certified Technology Specialist (MCTS), .NET Framework 4
• Developed and operated a commercial golf shot data analysis application using C# WPF (MVVM) • Led a full refactoring initiative for a 10+ year legacy system to improve maintainability and stability • Integrated GigE Vision high-speed cameras and optimized end-to-end analysis performance • Maintained and enhanced C++/MFC sensor video streaming modules • Built and deployed an AWS-based MSIX auto-update distribution system • Defined engineering priorities, schedules, and quality standards based on deep technical understanding • Owned release quality and stabilization for products deployed in real customer environments Deep Learning / Vision Project — Impact Key point Detection • Developed an impact keypoint detection model using 1800 FPS golf swing footage • Designed model architecture and training strategy based on recent research papers • Built a real-time inference pipeline and validated it with production/field data
Spend weekends dog walking part-time, healing time with lovely dogs
• Developed deep learning vision models (vehicle detection, license plate recognition, vehicle classification) • Designed labelling/data processing workflows and managed labelling operations • Deployed and maintained models across Windows, Linux, and Edge devices; built deployment APIs using C++/Python/C# • Reviewed and applied global research; supported production operations for a parking guidance system
• Developed Lotte “C-Che” mobile web using ASP and .NET (C#) • Built mobile web services and APIs for AsiaN
Worked remotely from Korea, the same tasks. It was my pleasure working for BrandProtect. Thanks a lot! :) • Developed and maintained web portal applications (v6.0+) • Built and supported a mobile application search engine and internal monitoring systems • Tech stack: ASP.NET (C#), MS SQL Server 2010, HTML, JavaScript, CSS