Jeonghwan Park is a Senior Software Engineer based in Daejeon, South Korea, with 10 years of experience building high-performance system software and AI inference engines. He specializes in CUDA programming, system-level development, and video/matrix acceleration frameworks, and currently leads projects at RealtimeTech where he also oversees RDBMS and linear algebra library work. Jeonghwan has hands-on expertise integrating native C++ libraries with Java, contributing presets for the well-known bytedeco/javacpp-presets to enable NVIDIA Video Codec SDK, TensorRT, and nvJPEG support โ including ARM and POWER builds. His background includes full-stack product development early in his career, giving him a practical appreciation for end-to-end systems design. Colleagues know him for translating low-level performance constraints into production-ready tooling and for balancing deep technical craft with project leadership.
10 years of coding experience
1 year of employment as a software developer
Computer Software Engineering, Computer Software Engineering at Daedeok Software Meister High School
The missing Java distribution of native C++ libraries
Role in this project:
Back-end Developer
Contributions:24 reviews, 7 commits, 26 PRs in 1 year 3 months
Contributions summary:Jeonghwan primarily focused on adding presets and expanding the capabilities of the `javacpp-presets` repository, specifically for the NVIDIA Video Codec SDK, TensorRT, and the nvJPEG module of CUDA. These presets involve incorporating header files, build configurations, and Java bindings to enable Java developers to leverage NVIDIA's hardware acceleration features. The contributions demonstrate a strong understanding of native library integration and CUDA programming. The user added support for ARM and POWER builds within the Video Codec SDK.
Fast object or data serialize and deserialize library
Contributions:16 releases, 2 reviews, 170 commits in 7 months
serializationcloningserializejavadeserialize
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