AI Systems Developer building intelligent agents and machine learning solutions

📍 Based in China | 🤖 Agent Development Specialist | 🧠 AI/ML Developer | ⚡ Backend Systems Expert | 🌐 Open to Remote Work

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

• AI Agent Systems - Designing and implementing autonomous agents that can reason, plan, and execute complex tasks
• Machine Learning Engineering - End-to-end ML development from research to production deployment
• Intelligent Backend Architecture - Building high-performance systems specifically optimized for AI workloads
• Model Research & Optimization - Deep understanding of model internals and performance tuning

• 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

• Model Development: Training, fine-tuning, and optimization with PyTorch & scikit-learn
• Production ML: Model serving, monitoring, and A/B testing in production environments
• Research & Analysis: Deep study of model internals, training dynamics, and performance optimization
• MLOps: Automated model pipelines, versioning, and deployment strategies

• High-Performance AI Services: Go/Rust systems optimized for ML inference and agent execution
• Distributed AI Architecture: Scalable systems for multi-agent environments and large-scale ML workloads
• Real-time Processing: Low-latency systems for responsive AI interactions
• AI Infrastructure: Kubernetes, Docker, and cloud deployment optimized for AI workloads

• Python: AI/ML primary language (PyTorch,Jax, FastAPI, scikit-learn, PEFT, Transformers)
• Go: High-performance AI services and agent orchestration systems
• Rust: Performance-critical ML components and low-level optimizations
• TypeScript/JavaScript: AI application frontends and interactive dashboards
• C/C++: Performance-critical systems and ML acceleration

• AI Platforms: LangChain, OpenAI APIs, Hugging Face, Anthropic
• DevOps for AI: Docker, Kubernetes, CI/CD for ML pipelines
• Development Environment: VS Code, Jupyter, Zed, AI tooling

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

• 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...

• 🤖 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
• 🔬 ML Research: Exploring new architectures and pushing the boundaries of AI capabilities

• 📧 Email: [email protected]
• 💼 GitHub: @bzfq21
• 🤝 Open to: AI agent development projects, ML engineering opportunities, autonomous systems consulting, research collaborations

Building the future of autonomous AI systems? Let's collaborate on next-generation intelligent solutions! 🚀⭐