Architecture decisions under real constraints.

Production-Grade AI Home Lab Platform

Designed and built an end-to-end, 100% self-hosted local AI platform running on Apple Silicon (MacBook M1 Pro) to serve low-latency inference with zero external cloud dependencies.

Architecture decisions

• Integrated LangGraphJS for stateful multi-agent orchestration and tool control loops
• Configured Cloudflare Tunnels (WAF + Tunnel) for secure, zero-open-port ingress
• Engineered an OpenAI-compatible FastAPI gateway proxy routing queries to local Ollama and MLX model runtimes

Enterprise Agentic RAG Platform

Enterprise teams needed AI workflows that could retrieve domain context, call tools, and remain auditable.

Architecture decisions

• Designed Agentic RAG architecture with LangGraph-style orchestration
• Used hybrid retrieval with vector search and contextual memory patterns
• Separated orchestration, retrieval, service, and deployment concerns

GPU AI Platform Modernization

AI workloads needed a clearer operating layer for GPU utilization, platform governance, and engineering adoption.

Architecture decisions

• Evaluated NVIDIA Run:AI and OpenShift AI deployment patterns
• Documented platform usage paths for engineering teams
• Connected infrastructure decisions to AI product delivery constraints

AI Architecture Enablement

Engineering teams needed reusable patterns for GenAI adoption, architecture reviews, and technical upskilling.

Architecture decisions

• Created reusable architecture patterns and accelerator thinking
• Led workshops, internal learning, and technical writing
• Converted emerging AI tools into practical engineering workflows