About

I'm Donald Wasserman. I'm an engineering leader who stays hands-on in architecture and code across every stage — from early-stage platform foundations to systems operating at scale.

AI and LLM production systems

Agentic workflows, asynchronous data pipelines, and high-throughput vector search. I design and build production AI tools and recommendation engines — including a Go-based orchestration system generating hundreds of thousands of daily artifacts.

Platform enablement and engineering practices

Standing up developer workflows that scale: automated CI/CD pipelines, repository architecture, and code review practices that cut deployment times, alongside robust platform architecture across web, mobile, and data stacks.

Performance and cost optimization

Diagnosing and resolving bottlenecks across application and database layers, streamlining observability, cutting platform spend, and making pragmatic infrastructure decisions across AWS, GCP, and Kubernetes.