Enterprise-focused software architect and builder working at the intersection of platform engineering, applied AI, and product delivery.
- Design and ship AI solutions for real business workflows
- Build production-minded RAG and agentic systems
- Create hands-on PoCs and starter architectures teams can adopt quickly
- Focus on reliability, observability, governance, and cost optimization
- Enterprise AI architecture patterns
- RAG quality and evaluation frameworks
- Agent orchestration and tool-calling workflows
- Prompt optimization and token-cost efficiency
- Local + cloud model routing strategies
- Languages: Python, TypeScript/JavaScript, C#
- Backend: FastAPI, API-first microservices
- AI: RAG pipelines, prompt engineering, agent workflows
- Runtime: Ollama, LM Studio, cloud-hosted LLMs
- Cloud & Platform: Azure, AWS, containerized deployments
- Data: SQL Server, PostgreSQL, MongoDB
- Ops: tracing, evaluation loops, production diagnostics
- Enterprise-AI-RAG-Agent
Enterprise AI starter with FastAPI, RAG retrieval, agent flow, prompt compression, observability, and evaluation harness.
Open to collaboration on enterprise AI architecture, agentic systems, and production-grade AI platform engineering.