I build systems that hold up after launch — from AWS infrastructure and delivery pipelines to the product running on top of them.
Three products, each deployed across its own isolated AWS account with infrastructure-as-code and OIDC-based CI/CD — live, deployed, and publicly demoable right now.
An event-driven video platform where uploads trigger an AI-powered processing pipeline — transcoding, speech indexing, and semantic search across your entire library.
A multi-tenant research analytics SaaS for neurodegenerative disease labs — replacing manual R scripts and Excel with structured, cloud-native plate analysis and audit-ready records.
A fully serverless AI spa booking platform with a conversational concierge that takes guests from service discovery to confirmed appointment. Originated as an AWS Academy capstone, then rebuilt outside the sandbox.
Cloud Engineer and AWS Solutions Architect, shaped by a decade inside enterprise IT watching what happens after software ships — the incidents, the handoffs, the documentation nobody wrote, systems inherited by people who weren't there when they were built. That's the lens I bring to every system I design.
AWS infrastructure defined as code, event-driven backends, and AI integrated where it earns its place — not bolted on for the sake of it.