AI Engineer (Full Stack & Agent Systems)
Enculture
Multi-agent systems, developer automation, and production LLM pipelines
Designed and deployed production-grade AI systems, RESTful APIs, and autonomous agent loops using TypeScript/Node.js and FastAPI to automate developer workflows and scale reasoning capabilities.
Achievements
- Built production AI systems and designed RESTful APIs in TypeScript/Node.js with FastAPI, integrating large language models
- Designed multi-agent systems for reasoning, planning, and execution
- Developed OpenClaw-based GitHub SWE agent for issue-to-PR automation
- Built webhook pipelines, tool integrations, and sandboxed execution environments with tool-calling architectures
- Optimized inference pipelines for cost, latency, and scalability
- Implemented retrieval-augmented generation (RAG) pipelines to enhance context retrieval and response accuracy
Related work