Junhyeok Choi
Software Developer at Shinhan DS
Seoul Incheon Metropolitan Area South Korea
Summary
🤩
Rockstar🎓
Top SchoolJunhyeok Choi is a versatile software developer with five years of professional experience building mobile and system-level applications across fintech, robotics, and embedded domains. Currently contributing to Shinhan DS, he migrated legacy Android UIs to Jetpack Compose and implemented MVVM architectures that improved app performance and real-time UX responsiveness. He combines mobile expertise in Kotlin and Flutter with a strong C++/C# background from RPA, ATM, and image-processing projects, enabling him to optimize performance-critical features. An active open-source advocate, Junhyeok contributes to 3D computer vision tooling—authoring Structure-from-Motion and camera calibration implementations that bridge research and practical reconstruction pipelines. Comfortable working remotely and across cultures, he has also automated filtering workflows for the Korean Adblock community and enjoys exploring new programming trends. His blend of geometric vision knowledge and production mobile engineering makes him a pragmatic problem-solver who ships polished, scalable software.
5 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Multimedia engineering, Bachelor’s Degree Multimedia engineering at Sogang University
Japanese, English, Korean, Thai
Github Skills (9)
opencv10
camera-calibration10
python10
3d-reconstruction10
3d10
bundle9
numpy9
bundler9
image-processing8
Programming languages (3)
Github contributions (5)
mint-lab/3dv_tutorial
Mar 2022 - May 2022
An Invitation to 3D Vision: A Tutorial for Everyone
Role in this project:
Data Scientist
Data ScientistContributions:5 commits, 4 pushes in 1 month
Contributions summary:Junhyeok primarily contributes to the development of a 3D vision tutorial, focusing on implementing and refining algorithms for Structure-from-Motion (SFM). Their work involves feature extraction, matching, and camera calibration using OpenCV. Key contributions include adding new python versions and implementing functions for camera pose estimation and 3D point cloud reconstruction, demonstrating a strong understanding of geometric vision techniques.
visual-odometryvisionoptical-flowcomputer-vision3d-reconstruction
cjh1995-ros/diverse_camera_model_calibration
Nov 2023 - Jan 2024
Contributions:28 pushes, 2 branches in 1 month
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