Autonomous Agent Developer \u2014 Multi-Agent Systems \u00b7 LLM Inference \u00b7 Tool Integration
Building autonomous AI agents that think, plan, and execute. I design multi-agent systems that collaborate to solve complex tasks.
Core focus:
- Multi-Agent Systems \u2014 orchestrating agent swarms, task decomposition, inter-agent communication
- LLM Inference \u2014 high-throughput serving, Continuous Batching, quantized deployment
- Tool Integration \u2014 MCP servers, browser automation, API chaining, code execution sandboxes
- Agent Memory \u2014 long-term context management, RAG pipelines, vector search
``` Languages Python \u00b7 TypeScript \u00b7 Rust Frameworks LangChain \u00b7 CrewAI \u00b7 AutoGen \u00b7 llama.cpp \u00b7 vLLM Infra Docker \u00b7 K8s \u00b7 FastAPI \u00b7 Ray Serve Data PostgreSQL \u00b7 Redis \u00b7 Milvus \u00b7 ChromaDB Tools Git \u00b7 Linux \u00b7 MCP \u00b7 Browser Automation ```
| Project | Description |
|---|---|
| AgentForge | Multi-agent orchestration framework \u2014 spawn, coordinate, and monitor agent swarms |
| CodeMate | AI coding agent with private deployment, enterprise RAG, and security auditing |
| ToolSync | Universal MCP tool bridge \u2014 connect any API or CLI as an agent-callable tool |
| MemVault | Long-term agent memory with semantic search, summarization, and context pruning |
| InferMesh | High-throughput LLM inference gateway with model routing and fallback |
| AutoResearch | Autonomous research agent \u2014 web search, paper analysis, report generation |
- \uD83D\uDCAC WeChat \u2014 DM for contact
- \uD83D\uDCE7 Email \u2014 available upon request
"The best agent is the one you never have to prompt twice."