Staff software engineer at lululemon with experience in cloud architecture, backend engineering, and technical leadership. Creator of Rat Things, an open-source AWS runtime for AI agents, and contributor to Indubitably’s coding-agent tools.
Professional Experience
Staff Software Engineer, Services
- Operated 50+ AWS microservices supporting a mobile commerce business that grew from $60M in revenue in 2019 to $1.7B in 2025.
- In 2023, reduced operating expenses by 35%, delivering $300K in cost savings.
- Lead and contribute to global lululemon engineering best practices and standards in cooperation with Principal Engineers across retail, digital, and enterprise teams.
- Engineering responsibilities include AWS architecture, infrastructure as code, delivery pipelines, observability, and incident response.
AWSPythonTerraformKafkaCI/CD
Omni ePartners
2018 — 2019Full Stack Developer
Built reporting and API systems for Amazon brand management.
APIsReportingFull stack
Cali-Style Technologies
2016 — 2018Senior Full Stack Developer
Worked across content management, e-commerce, product catalogs, and CRM systems.
E-commerceCMSCRM
Web Applications Developer
Developed web applications for insurance comparison workflows.
Web applicationsProduct development
Software Engineer
Worked on open-source ERP software across desktop and web foundations.
Open sourceERPPostgreSQL
Open-Source Projects
Rat Things
Creator · AWS runtime for AI agents
- Building an open-source runtime that lets coding agents hand off tasks from a local development environment to isolated AWS Lambda MicroVMs.
- Designed persistent conversations, run history, and file storage so work can continue across sessions.
- Implemented explicit permissions for each run, including controlled access to connected services such as Slack and Linear.
Engineering preview
github.com/gpazo/Rat-ThingsIndubitably
Open-Source Contributor · Coding-agent runtimes and developer tools
- Integrated AWS Bedrock into Indubitably’s Codex fork, including model streaming, tool handling, and authentication.
- Added runtime regression tests to support continued development and upstream updates.
- Developed reusable agent skills for code review, codebase exploration, and documentation.
github.com/indubitably-ai/codex-indubitablyTechnical Skills
Languages & runtimes: Python, TypeScript, Elixir / Phoenix, Rust, Node.js
Cloud & data: AWS, Terraform, PostgreSQL, Kafka, Redis
Operations: Observability, CI/CD, Incident response, Service ownership
Agent infrastructure: Agent runtimes, AWS Bedrock, Provider integration, Developer tools