Agentic AI Engineer · Cloud Native Developer
I build agentic AI systems, automation pipelines, and cloud-native backend services that scale in production.
I build multi-agent AI systems and cloud-native backends that run in production.
Most of my work sits at the intersection of autonomous agent orchestration (LangGraph, CrewAI), retrieval-augmented generation, and infrastructure (FastAPI, Docker, AWS, Azure). I've shipped agent pipelines with up to 18 coordinated agents serving real users, and I deploy them behind Traefik with subdomain-based routing on managed cloud infrastructure. I also enjoy teaching and sharing knowledge through practical engineering content.
- Multi-agent orchestration systems using LangGraph with complex state management and human-in-the-loop workflows
- Cloud-native service deployments with FastAPI, Docker, Traefik, and AWS (EC2, RDS, Route53, ACM)
- RAG pipelines with custom chunking strategies across FAISS, Qdrant, and ChromaDB
- Workflow automation with N8N for content repurposing and business process orchestration
| Project | Description | Stack |
|---|---|---|
| LLM Metrix | Google Analytics for AI Search | FastAPI, PostgreSQL, LangChain, LangGraph, Next.js, React, TypeScript, Docker, AWS (EC2) |
| ShiftsSwaps | A workplace feature that allows employees to exchange assigned shifts to improve scheduling flexibility. | FastAPI, React, PostgreSQL, Docker, Redis |
