I’m a Software Engineer with 2+ years of experience working with C++, Python, and Halcon, focusing on industrial computer vision systems for contact lens manufacturing. I have hands-on experience deploying solutions in real factory environments, including on-site work in Korea.
My journey started with a strong interest in technology and problem-solving. Over time, I became interested in Quantitative Finance and Artificial Intelligence, where math, data, and programming come together.
In my current role, I develop and deploy image processing systems used in real production environments. This experience helps me build practical solutions and understand how systems perform outside of theory.
I am currently working toward becoming a Quantitative Researcher, focusing on data, algorithms, and building high-performance models.
Here are a few technologies I’ve been working with recently:
Industrial solutions where I led research, logic design, and deployment.
Real-time AI detection for pharmaceutical lines. Optimized high-speed inference with C++/Qt MVVM and multi-threaded synchronization.
High-precision multi-spectral vision system. Deployed 12 units globally with 98.2% yield rate using Numba JIT optimization.
Personal experiments focused on learning new frameworks and algorithmic optimization [source: 1].
A multi-threaded desktop application that parses visual text trees to automatically generate local workspaces [source: 1]. Engineered with a strict MVVM architecture, background QThread workers, and safe undo histories to prevent data loss [source: 1].
A high-performance, multi-threaded folder synchronization tool leveraging ThreadPoolExecutor for concurrent file I/O operations. Built with a clean MVVM architecture, featuring cooperative cancellation and resilient system error handling blocks.
A low-cost hybrid solution using Dual-QR and Blockchain for product authentication.
A systematic approach to managing market uncertainty through technical analysis, macro context, and Value at Risk (VaR).
A deep dive into the mathematical foundation and algorithmic implementation of SMA for trend-following strategies.
My inbox is always open. Whether you have a question about Computer Vision or just want to say hi, I’ll try my best to get back to you!
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