Staff / Founding Backend Engineer
San Francisco, CA

I design and build AI-native backend platforms with strong architectural foundations.

Over 20 years building scalable systems across startups and high-performance teams. I focus on distributed systems, workflow orchestration, reliability, and LLM-powered infrastructure.

A connected system composed of:

• SDS (System Design Simulator)
  Time-boxed system design practice with AI-based architectural evaluation.

• MOS (Memory OS)
  A semantic knowledge graph powered by Postgres + pgvector that tracks architectural concepts, decisions, and improvement over time.

Core themes:

• Structured evaluation pipelines
• LLM provider abstraction
• Embedding-backed knowledge graphs
• Schema-driven architecture tracking
• Tradeoff-aware system design feedback

• AI workflow orchestration engines
• Reliable ingestion + processing pipelines
• Postgres-backed systems with strong data modeling
• Provider-agnostic LLM infrastructure
• Event-driven backend architectures
• Systems designed for clarity and evolution

TypeScript · Node.js · Postgres · pgvector · Supabase · Drizzle
Claude · OpenAI · Embeddings pipelines
Docker · Terraform · AWS

Staff or Founding Backend roles where I can:

• Own core architecture
• Design automation engines
• Build AI-first backend platforms
• Work in small, high-performing teams

Open to connecting on LinkedIn or GitHub.