Professional Systems
Native cloud, serverless platforms, containers, Linux and Windows VMs, cloud architecture, and deployment workflows.
Projects
The work I want to show here spans production systems, AI engineering workflows, and the broader identity behind the work: engineer, artist, and scientist.
Areas
Native cloud, serverless platforms, containers, Linux and Windows VMs, cloud architecture, and deployment workflows.
Engineering methodologies and workflows for AI-assisted delivery, interdisciplinary integrations, model building, guardrails, and product-engineer agent workflow architecture.
The connective tissue across the work: systems thinking, scientific curiosity, creative construction, and hands-on making.
Examples
A secure, scalable SaaS platform for identity and physical access management, built with cloud-native services, event-driven architecture, CI/CD, observability, and a strong focus on team learning speed.
Practical guardrail patterns for working with AI coding agents: blocking dangerous shell operations, protecting secrets, requiring Terraform plan review, and making test verification part of the workflow.
A browser-to-S3 upload flow using a Lambda signer so the browser can POST directly to S3 without a persistent server-side upload component.
Handmade bowls, mugs, and small objects from wood that could have become scrap or firewood, shaped into useful gifts and keepsakes.
A static personal site migrated from WordPress and LinkedIn into Astro, deployed through GitHub Actions to a private S3 bucket behind CloudFront and Route 53.