聚焦 AI 基础设施、CUDA Kernel 与高性能系统工程

🔬 Focus: AI Infrastructure · CUDA Kernels · LLM Inference · HPC Systems
🌱 Currently: Building high-throughput inference pipelines and GPU-first systems
🤝 Open to: AI infrastructure, performance engineering, research collaboration, and open-source collaboration

   

         

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👨‍💻 About Me / 关于我

I build AI infrastructure and GPU-first high-performance systems with C++/CUDA, Python, and Go. 主要聚焦 AI 基础设施、GPU 算子优化与高性能系统工程实践。

• 🔥 GPU Kernel Engineering — CUDA/Triton kernels for FlashAttention, GEMM, quantization, and memory-aware operator design
  GPU 算子工程 — FlashAttention、GEMM、量化与内存感��算子设计
• 🧠 AI Inference Systems — lightweight LLM runtimes, KV Cache, W8A16/FP8 quantization, and inference path optimization
  AI 推理系统 — 轻量 LLM 运行时、KV Cache、量化方案与推理路径优化
• ⚡ High-Performance Computing — simulation, rendering, and image-processing pipelines tuned for throughput and scalability
  高性能计算 — 面向吞吐与可扩展性的仿真、渲染与图像处理流水线
• 🌐 Real-time Systems — RTC signaling, streaming applications, and digital human platforms with system-level integration
  实时系统 — RTC 信令、流媒体应用与数字人平台的系统级集成

Currently / 当前关注: inference acceleration, kernel fusion, and end-to-end GPU system design.
推理加速、算子融合与端到端 GPU 系统设计。

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🚀 Selected Work / 项目全景

Featured Projects / 核心项目 — Start here for the quickest overview of my work in bioinformatics, HPC, AI inference, and developer tooling.
如果你想快速判断我的技术重心与代表作，建议先看下面 4 个项目。
_{Best entry points for collaboration, hiring conversations, and technical review.}

⭐ FASTQ Compressor High-performance FASTQ compression with 3.97x ratio and O(1) random access. C++23, ABC+SCM algorithms. 高性能 FASTQ 压缩：3.97x 压缩比，O(1) 随机访问，C++23 + oneTBB。	⭐ FASTQ Tools High-performance FASTQ QC toolkit (stat/filter/trim); zero-copy I/O, TBB pipeline, C++23. 高性能 FASTQ 质控工具：零拷贝 I/O、TBB 流水线、C++23。
⭐ MICOS-2024 End-to-end Metagenomic Intelligence and Comprehensive Omics Suite (Mammoth Cup 2024) 端到端宏基因组综合分析平台（猛犸杯 2024 参赛项目）	⭐ Wiki-Bioinfo Systematic knowledge base for bioinformatics (Chinese community) 面向中文社区的生物信息学体系化知识库

🧬 Bioinformatics & Genomics / 生物信息学

🟢 Wiki-Bioinfo Systematic knowledge base for bioinformatics (Chinese community) 面向中文社区的生物信息学体系化知识库	🟢 MICOS-2024 End-to-end Metagenomic Intelligence and Comprehensive Omics Suite 端到端宏基因组综合分析平台（猛犸杯 2024）
🟢 FASTQ Compressor High-performance FASTQ compression with 3.97x ratio and O(1) random access. C++23, ABC+SCM. 高性能 FASTQ 压缩：3.97x 压缩比，O(1) 随机访问	🟢 FASTQ Tools High-performance FASTQ QC toolkit (stat/filter/trim); zero-copy I/O, TBB pipeline, C++23. 高性能 FASTQ 质控工具：零拷贝 I/O、TBB 流水线、C++23
🟢 Awesome Bioinfo Algorithms Curated bioinformatics algorithms knowledge base with complexity analysis, CLI tools, and bilingual docs. 精选生物信息学算法知识库，含复杂度分析、CLI 维护工具与双语文档

⚡ CUDA & HPC / 高性能计算

🔷 SGEMM Optimization Bilingual CUDA SGEMM optimization tutorial, from naive kernels to Tensor Core WMMA. 双语 CUDA SGEMM 优化教程与参考实现，从朴素内核到 Tensor Core WMMA	🔷 C++ High Performance Guide High-performance C++ optimization guide with lock-free data structures, SIMD, and memory optimization. 高性能 C++ 优化指南，含无锁数据结构、SIMD 和内存优化示例
🔷 BitCal Header-only C++23 bit manipulation library with SIMD acceleration (SSE2/AVX2/AVX-512/NEON). 仅头文件 C++23 位操作库，支持 SIMD 加速	🔷 Compress Kit Classic lossless compression algorithms in C++17, Go, and Rust with cross-language binary verification. 经典无损压缩算法，支持 C++17、Go 和 Rust，跨语言二进制验证
🔷 The Art of HPC 中文翻译 HPC textbooks covering MPI, OpenMP, CUDA, and Scientific Computing (CC-BY 4.0) 《高性能计算艺术》系列中文翻译，涵盖 MPI、OpenMP、CUDA 与科学计算	🔷 Awesome Compression Compression Knowledge Base: Algorithm Theory, Performance Benchmarks & C++ Examples 压缩算法知识库：原理、性能基准与 C++ 示例

🤖 AI & Developer Tooling / AI 与开发者工具

🟣 Awesome CursorRules 中文 Cursor AI 编程规则精选集 | 132+ 规则，覆盖前端/后端/AI/DevOps 等 32 个领域	🟣 Cursor Rules Archive-grade .mdc rule library for Cursor AI — 26 production-ready rules 归档级 Cursor .mdc 规则库 — 26 个生产就绪规则，低漂移设计
🟣 Awesome Claude Skills 中文 A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows Claude Skills 精选列表：定制 Claude AI 工作流的技能、资源和工具合集	🟣 Bookmarks Cleaner Offline-first bookmark cleaner: rules-first, ML-assisted, LLM-optional 智能书签清理与分类：规则+ML+LLM（可选）
🟣 YOLO-Toys Multi-Model Real-Time Visual Recognition System with REST API and WebSocket Streaming 多模型实时视觉识别系统，提供 REST API 和 WebSocket 流式推理	🟣 Graph Viewer Privacy-first diagram editor with local WASM rendering, Kroki full mode, sharing, and export. 隐私优先的图表编辑器：本地 WASM 渲染、Kroki 全模式、分享与导出

🌐 Applications / 应用项目

🟣 Meta Human Browser-native 3D digital human engine with voice, vision & dialogue. Zero-config, offline-ready. 浏览器原生 3D 数字人引擎，支持���音、视觉与对话。零配置、离线可用。	🟣 WebRTC Demo Lightweight WebRTC Demo: Go Signaling Server + Vanilla JavaScript Client, OpenSpec-Driven 轻量级 WebRTC 演示：Go 信令服务 + 原生 JavaScript 客户端，OpenSpec 驱动开发
🟣 Mind Gym Browser-based memory training PWA with FSRS-4.5 spaced repetition, N-back training, and adaptive difficulty 基于 FSRS-4.5 间隔重复、N-back 训练和自适应难度的浏览器记忆力训练 PWA

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🎓 Background & Experience / 教育与经历

🎓 Education Xidian University Computer Science related background. / 计算机科学相关背景

💼 Experience Mindray · ZEGO · BGI Engineering across medical imaging, RTC systems, and genomic-scale data workflows. / 覆盖医疗影像、实时音视频系统与基因数据工程。

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🛠️ Tech Stack / 技术栈

聚焦与核心项目强相关的技术：AI Infrastructure · CUDA Kernel Engineering · LLM Inference · HPC Systems

Category	Technologies
AI Infrastructure
CUDA Kernel Engineering
LLM Inference Optimization
HPC Performance Engineering

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📊 Signals & Activity / 数据概览

_{Public data only · UTC aggregation · may lag a few hours / 仅统计公开贡献、按 UTC 聚合，可能有数小时延迟}

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📫 Collaboration & Contact / 联系方式

Reach out if you're building AI infrastructure, inference acceleration, GPU systems, or performance-critical tooling.
欢迎联系我交流 AI 基础设施、推理加速、GPU 系统，以及对性能敏感的工程项目。
_{Open to technical collaboration, engineering roles, research discussions, and thoughtful open-source work.}