I architect and develop AI solutions with focus on Large Language Models, multi-agent systems, and intelligent automation. My passion lies in creating efficient, scalable AI architectures that bridge human and artificial intelligence.
- LLM Development & Engineering
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Prompting Methods
- Core: Zero-Shot → Few-Shot → Chain-of-Thoughts → Tree-of-Thoughts
- Advanced: ReAct → Constitutional → Auto-CoT → PAL → Least-to-most
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RAG Engineering
- Core: Vector DBs → Embeddings → Retrieval
- Advanced: Hybrid Search → Semantic Routing → Dynamic Context
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Multi-Agent Development
- Patterns: Swarms → Specialization → Orchestration → Emergence
- Frameworks: AutoGen → LangChain → CrewAI → MetaGPT
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- Agent Collaboration: Multi-agent architectures and emergent behaviors
- LLM Optimization: Novel approaches to model fine-tuning and context engineering
- Human-AI Synergy: Developing intuitive interfaces for AI-human interaction
- Autonomous Systems: Self-improving AI architectures and adaptive learning
- Business Solutions:
- Workflow Automation
- Document Processing
- Knowledge Management
- 🤖 Custom multi-agent architectures for autonomous task solving
- 🧠 Advanced prompting systems with cognitive architecture integration
- 🎯 Domain-specific AI applications and integrations
I'm always open to collaborating on innovative AI projects and exploring new frontiers in artificial intelligence.
- 📫 Contact: [email protected]
- 🌐 Pronouns: he/him
- ⚡ Fun fact: Passionate about exploring the intersection of human cognition and artificial intelligence.