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
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
- 🧠 AI Inference Systems — lightweight LLM runtimes, KV Cache, W8A16/FP8 quantization, and inference path optimization
- ⚡ High-Performance Computing — simulation, rendering, and image-processing pipelines tuned for throughput and scalability
- 🌐 Real-time Systems — RTC signaling, streaming applications, and digital human platforms with system-level integration
Currently / 当前关注: inference acceleration, kernel fusion, and end-to-end GPU system design.
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.
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🇨🇳 Cursor AI .cursorrules 规则精选集合 · 132+ 规则 · 32 领域 · 双语站点
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Browser-native 3D digital human engine with voice, vision & dialogue. Zero-config, offline-ready.
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端到端宏基因组综合分析平台 | End-to-end Metagenomic Intelligence and Comprehensive Omics Suite
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High-performance FASTQ compression with 3.97x ratio and O(1) random access. C++23, ABC+SCM algorithms.
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面向中文社区的生物信息学体系化知识库 | Systematic knowledge base for bioinformatics (Chinese)
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端到端宏基因组综合分析平台 | Metagenomic Intelligence and Comprehensive Omics Suite
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High-performance FASTQ compression with 3.97x ratio and O(1) random access. C++23, ABC+SCM.
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High-performance FASTQ QC toolkit (stat/filter); zero-copy I/O, TBB pipeline, C++23.
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Curated bioinformatics algorithms knowledge base with complexity analysis, CLI tools, and bilingual docs.
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Bilingual CUDA SGEMM optimization tutorial, from naive kernels to Tensor Core WMMA.
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High-performance C++ optimization guide with lock-free data structures, SIMD, and memory optimization.
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Archive-grade C++17 header-only library for SIMD-accelerated bit manipulation (SSE2/AVX2/AVX-512/NEON).
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Classic lossless compression algorithms in C++17, Go, and Rust with cross-language binary verification.
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High-Performance Computing textbooks covering MPI, OpenMP, CUDA, and Scientific Computing | CC-BY 4.0
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🇨🇳 Cursor AI .cursorrules 规则精选集合 · 132+ 规则 · 32 领域 · 双语站点
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Archive-grade Cursor .mdc 规则库 | 26 个高质量规则，静态目录，低漂移设计
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精选的实用 Claude Skills 列表，助力 Claude.ai、Claude Code 和 Claude API 提升生产力
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智能书签清理与分类：规则+ML+LLM（可选） | Offline-first bookmark cleaner
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多模型实时视觉识别系统 - 支持 YOLO、DETR、OWL-ViT、Grounding DINO、BLIP
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Privacy-first diagram editor with local WASM rendering, Kroki full mode, sharing, and export.
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Browser-native 3D digital human engine with voice, vision & dialogue. Zero-config, offline-ready.
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轻量级 WebRTC 演示：Go 信令服务 + 原生 JavaScript 客户端，OpenSpec 驱动开发
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🧠 Browser-based memory training PWA with FSRS-4.5 spaced repetition, N-back training, and adaptive difficulty
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Background in communications engineering. / 通信与信息工程相关背景 |
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。 |
| Category | Technologies |
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| Languages | |
| AI & HPC | |
| System & DevOps | |
| Web & Frontend |
🏆 Highlights & More Stats / 高亮与更多数据
📈 Activity Graph / 活动图
🧬 Visual Signature / 视觉标识
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.
