Designing Scalable Backend Systems
May 1, 2026
A deep dive into the patterns and principles for building backend systems that scale.
Staff Software Engineer | Distributed Systems | Technical Leadership
15+ years building and modernizing large-scale distributed systems at Ford. Technical authority on cloud-native platforms (AWS, GCP) processing 2M+ monthly transactions. Focused on distributed systems, platform engineering, SRE practices, and AI-augmented developer productivity.
What I think about and write about
Large-scale cloud-native platforms (AWS, GCP), microservices, event-driven architecture, and systems handling millions of transactions.
Building golden paths, standardized CI/CD pipelines, developer productivity, and infrastructure that scales to 190+ teams.
DORA metrics, trunk-based development, distributed tracing, and designing for 2-hour MTTR at scale.
Spec-Driven Development, GitHub Copilot integration, Model Context Protocol, and LLM-based developer workflows.
May 1, 2026
A deep dive into the patterns and principles for building backend systems that scale.
April 28, 2026
How to architect and deploy AI agents for real production use cases.
April 25, 2026
Lessons learned scaling engineering teams and maintaining velocity.
Things I'm building and experimenting with
GCP-native platform serving 2M+ monthly transactions. Architected cloud-native migration from legacy COTS to microservices and event-driven architecture. Increased customer retention to 36% (100%+ above industry benchmarks).
Micro-frontend platform enabling 190+ product teams with unified design system and consistent experiences. Simplified authentication across B2C, B2B, and internal systems.
Reduced order-to-delivery cycle time by 76% (60 to 14 days). Re-architected monolithic systems into Java/Spring Boot microservices. Launched 5 vehicle lines.
What I'm focused on right now