JK 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.
9 years of coding experience
4 years of employment as a software developer
Computer Science, Computer Science at Santa Monica College
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
Role in this project:
ML Engineer
Contributions:379 commits, 75 PRs, 353 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.
This repository is a collection of scripts/programs I use to set up the software development environment on my Jetson Nano, TX2, and Xavier NX.
Contributions:78 commits, 4 PRs, 74 pushes in 3 years
jetsonjetson-nanoxavierlinuxnano
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