I build systems that hold up after launch - from AWS infrastructure and delivery pipelines to the product running on top of them.
Three independently engineered products spanning event-driven infrastructure, multi-tenant platforms, and serverless modernization - each with its architecture and trade-offs documented in code.
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 spa booking platform re-platformed across three infrastructure generations: AWS Academy on EC2/VPC/ALB, Vercel + Hetzner, and a final AWS serverless architecture built with Lambda, API Gateway, S3, CloudFront, DynamoDB, and CDK.
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.