Your engineers ship features. I make sure the architecture underneath them survives what's coming next.

Fractional CTO and architecture leadership for B2B SaaS and AI companies where the technical decisions made this quarter determine whether the product scales or gets rebuilt next year. I don't advise from the sidelines. I embed with your team, own the architecture layer, and make the structural calls that separate systems that scale from systems that break.

This is the difference between a $200K rebuild in 18 months and an architecture that quietly handles 10x growth without anyone noticing.

I've done this 80+ times across 6 industries. Enterprise migrations with zero downtime. Systems that went from 1K to 100K users without a single architectural rewrite. The patterns repeat. The mistakes are predictable. I've already solved the problem your team is about to discover.

→ System Architecture & Direction • Architecture design, evolution, and long-term structural decisions • Service topology, domain boundaries, and system decomposition • Technology stack evaluation and selection

→ Scalability & Infrastructure Strategy • Infrastructure planning: compute, storage, networking, CDN • Data layer strategy: caching, replication, sharding, load distribution • Auto-scaling configuration and capacity planning

→ AI & Intelligent Systems Architecture • LLM integration patterns and orchestration design • AI workflow architecture and pipeline optimization • Vector database strategy and model serving infrastructure

→ API & Data Architecture • API contracts, versioning, and gateway design • Service boundaries, data modeling, and schema evolution • Event-driven architecture and async communication patterns

→ Technical Health & Debt Management • Technical debt triage: what to fix now, what to defer, what to kill • Architecture reviews embedded in your engineering cadence • Code quality standards and engineering best practices

→ Strategic Alignment • Technical roadmap tied to fundraising, enterprise sales, and growth milestones • Legacy modernization and platform migration strategy • Security architecture, compliance readiness, SOC 2 preparation

→ Founders who've raised capital and can't afford architecture mistakes → CTOs who inherited a codebase and need to know what's actually in there → AI companies pushing intelligent workflows to production scale → Series A/B startups where one bad infrastructure decision delays the next round → Teams preparing for enterprise clients, SOC 2, or 10x traffic growth

Full-stack architecture across frontend, backend, infrastructure, and AI.

• Next.js • Node.js • TypeScript • PostgreSQL • Supabase • AWS • Docker • Redis • OpenAI • React Native • Stripe

11+ years. 80+ clients. Zero tolerance for architecture that looks good on a whiteboard but falls apart under real load.