Building efficient AI infrastructure, high-performance systems, and data pipelines.
专注于 AI 基础设施与高性能计算的工程实践。
⚡ Focus: Infrastructure Optimization · Real-time Systems · Data Engineering
🌱 Currently exploring: AI inference acceleration & large-scale pipeline orchestration
📍 Open to: Research collaboration & open-source co-building
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I build AI infrastructure and high-performance systems with C++, Rust, and Python.
(中文)主要关注 AI 基础设施、数据处理与高性能计算等方向的工程实践。
- AI Infrastructure: Optimizing training and inference pipelines. / 训练与推理流程优化
- High-Performance Computing: Leveraging C++ and Rust for speed. / 使用 C++ 与 Rust 构建高性能系统
- Data Processing: Handling large-scale data with modern tools. / 处理与分析大规模数据
- Inference Systems: Build low-latency inference services and profiling tooling. / 低延迟推理服务与性能剖析
- MLOps Pipelines: Dataset versioning, reproducible training, and deployment automation. / 数据集版本化与自动化训练部署
- Engineering Writing: Documenting system design and performance learnings. / 总结系统设计与性能优化经验
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FASTQ toolchain · 高性能 FASTQ 处理工具 High-performance FASTQ tools / 高性能 FASTQ 处理工具 |
📡 WebRTCRealtime signaling · 信令服务与通话演示 WebRTC signaling & demo / 信令服务与通话演示 |
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Streaming detection · 实时视频流目标检测 Real-time detection / 实时视频流目标检测 |
🧑🚀 MetaHumanDigital human platform · 数字人平台 Digital human platform / 数字人平台 |
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Background in communications engineering. / 通信与信息工程相关背景 |
Medical imaging, RTC & Genomic data. / 医疗、音视频与基因数据工程 |
Main technologies I work with (English first, with brief Chinese hints):
主要使用的语言与技术栈如下,图标大致反映熟悉程度与使用频率。
| Category | Technologies |
|---|---|
| Languages | |
| AI & Data | |
| System | |
| Web |
Feel free to reach out for collaboration, technical discussions, or open-source ideas.
欢迎通过邮箱与我交流技术想法、合作机会或开源项目。


