JK Jung
SQL DBA, Web Developer at Self-Employed
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJK Jung is a pragmatic SQL DBA and web developer with over a decade of experience building reliable backend systems and production web apps from Los Angeles. He combines deep MySQL operations and replication expertise—having managed multi-server, multi-region deployments and crafted monitoring, backup and automation tooling—with hands-on web development using PHP, VB, C++ and jQuery. As a self-employed engineer and former in-house developer for wholesale and event platforms, he has delivered inventory, ERP and e-commerce solutions that tie multiple locations and drop-ship workflows together. He also contributes machine-learning inference work on GitHub, integrating TensorRT engines and Cython wrappers for optimized object-detection pipelines, and is recognized as an NVIDIA Jetson Champion. Practical, system-focused and comfortable across Linux and Windows stacks, he brings a bias for automation and uptime to every project.
10 years of coding experience
4 years of employment as a software developer
Computer Science, Computer Science at Santa Monica College
Korean, Japanese, English
Stackoverflow
934reputation
535kreached
17answers
0questions
pip
top-5%
Github Skills (15)
tensorrt10
c-language10
cprogramming-language10
cython9
pip9
machine-learning8
computer-vision8
caffe7
lua6
keras6
pdf6
markdown6
shell6
python6
numpy6
Programming languages (7)
Github contributions (5)
jkjung-avt/tensorrt_demos
May 2019 - Aug 2022
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
Role in this project:
ML Engineer
ML EngineerContributions:379 commits, 76 PRs, 354 pushes in 3 years 3 months
Contributions summary:JK's commits primarily focused on creating and integrating TensorRT engines within the repository. They added code for building TensorRT engines from Caffe models, implemented C++ code for inferencing with these engines, and created Cython wrappers to integrate the C++ code with Python. The user demonstrated expertise in deploying and utilizing the TensorRT framework for optimized inference, specifically within the context of object detection models.
googlenettensorrtyolov4yolov3ssd-mobilenet
jkjung-avt/yolov4_crowdhuman
Aug 2020 - Jan 2021
A tutorial on training a DarkNet YOLOv4 model for the CrowdHuman dataset
Contributions:54 commits, 3 PRs, 41 pushes in 4 months
yolov4
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