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Jeongkeun Kim

PROFILE

Jeongkeun Kim

Worked on the ossrs/ffmpeg-webrtc repository to deliver AArch64 NEON optimizations targeting real-time audio and video processing on ARM platforms. Focused on low-level programming in C and Assembly, the developer implemented NEON-accelerated 32x32 SAD and DCA LFE FIR filter routines, achieving measurable speedups over scalar code paths. These optimizations were benchmarked on AWS Graviton3 hardware, demonstrating reduced compute cycles for critical WebRTC processing tasks. By aligning ARM NEON implementations with existing x86 SIMD routines, the work closed performance gaps and improved throughput for WebRTC pipelines, showcasing expertise in NEON intrinsics, performance optimization, and audio processing at the system level.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
1
Lines of code
206
Activity Months1

Your Network

282 people

Shared Repositories

282

Work History

April 2026

2 Commits • 1 Features

Apr 1, 2026

This month, OSSRS delivered significant AArch64 NEON optimizations within ossrs/ffmpeg-webrtc, closing the ARM SIMD performance gap with the existing x86 paths and enabling higher real-time throughput for WebRTC on ARM platforms.

Activity

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Quality Metrics

Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

AssemblyC

Technical Skills

NEON intrinsicsaudio processinglow-level programmingperformance optimization

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

ossrs/ffmpeg-webrtc

Apr 2026 Apr 2026
1 Month active

Languages Used

AssemblyC

Technical Skills

NEON intrinsicsaudio processinglow-level programmingperformance optimization