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  • 16:31 (UTC -12:00)

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bzfq21/README.md

bzfq21

AI Systems Developer building intelligent agents and machine learning solutions

About Me

📍 Based in China | 🤖 Agent Developer | ⚡ Backend Developer | 🧠 AI/ML Developer

I'm an AI-focused developer passionate about building intelligent systems that can think, learn, and act autonomously. I combine robust backend engineering with AI expertise to create production-ready intelligent solutions:

  • AI Agent Systems - Designing and implementing autonomous agents that can reason, plan, and execute complex tasks
  • Intelligent Backend Architecture - Building high-performance systems specifically optimized for AI workloads
  • Machine Learning Engineering - Exploring how models work and experimenting with optimizations

Technical Expertise

🤖 AI Agent Development

  • Agent Architecture: Multi-agent systems, reasoning frameworks, and autonomous decision-making
  • LangChain & OpenAI: Advanced prompt engineering, chain-of-thought, and tool integration
  • Custom Frameworks: Building specialized agent frameworks for specific domains
  • Autonomous Systems: Computer use agents, web automation, and task orchestration

⚡ Backend Systems

  • High-Performance AI Services: Go/Rust systems optimized for handling massive concurrent requests and workloads
  • Distributed Architecture: Scalable microservices and event-driven systems for large-scale applications
  • Real-time Processing: Low-latency systems for streaming data and responsive interactions
  • Infrastructure Engineering: Kubernetes, Docker, and cloud deployment with automated scaling and observability

🧠 Machine Learning Engineering

  • Model Development: Training, fine-tuning, and compression with PyTorch
  • Research & Analysis: Deep study of model internals, training dynamics, and performance optimization
  • MLOps: Working with vllm and Ray for distributed ML workflows, and basic production monitoring with Prometheus/Grafana

💻 Development Stack

  • Python: AI/ML primary language (PyTorch, JAX, FastAPI, scikit-learn, PEFT, Unsloth, Transformers)
  • Go: High-performance web services (Fiber), RPC frameworks (gRPC), desktop automation (robotgo)
  • Rust: Systems programming and performance-critical components (axum, tokio)
  • TypeScript/JavaScript: Application frontends and interactive dashboards (React, Next.js, Node.js)

Featured Projects

  • Tech Stack: Go, AI Agent Architecture
  • Description: High-performance automated computer use agent
  • Focus: Combining Go's performance with intelligent autonomous systems

🚀 AI & Agent Projects

  • Multi-Agent Systems: Collaborative AI agents for complex problem-solving
  • LLM Applications: Production systems leveraging large language models
  • AI-Powered Tools: Intelligent automation and decision support systems
  • More AI agent and ML projects in development...

AI Focus Areas

  • 🤖 Autonomous Agents: Building next-generation AI agents with advanced reasoning capabilities
  • 🧠 Production ML: Deploying machine learning models at scale with robust engineering
  • 🔗 AI System Integration: Seamlessly connecting AI models with real-world applications
  • ⚡ High-Performance AI: Optimizing systems for fast, efficient AI inference and execution

Get in Touch

Pinned Loading

  1. aiNotes aiNotes Public

    AI笔记仓库,系统化记录人工智能领域的知识点

    Jupyter Notebook 1

  2. Go-ComputerUseAgent Go-ComputerUseAgent Public

    An intelligent automation Agent framework with LLM capabilities, supporting task planning, RPA (Robotic Process Automation) execution, and workflow orchestration for macOS and Windows.

    Go 1