Now

Building ML infrastructure that enables teams to deploy models reliably at scale

Leading product initiatives for AI/ML systems serving billions of predictions daily

Collaborating with engineering teams on model deployment pipelines and observability

Driving adoption of best practices for production ML systems

Maintaining the illuminated Pink Triangle installation over San Francisco as a beacon of LGBTQ+ resilience

Planning next iteration of large-scale light installations for 2026

Exploring interactive elements that respond to community engagement

Collaborating with Illuminate.org and National AIDS Memorial on memorial projects

r3: Building a memory layer for AI assistants with Redis-backed context persistence

Claude Code Extensions: Creating developer tools that integrate AI into existing workflows

Exploring MCP (Model Context Protocol) implementations for better AI tool integration

Contributing to open-source AI developer tools and frameworks

Advanced prompt engineering techniques for complex reasoning tasks

Production patterns for AI-powered applications at scale

Interactive lighting systems and IoT integration for large-scale installations

Developer experience design for AI-first tools

Memory systems and context management for long-running AI sessions

Making AI systems more reliable and debuggable for production use

Creating immersive experiences that foster community and highlight social issues

Improving developer workflows with AI-powered tools

Building infrastructure that enables rapid AI experimentation

Sharing knowledge through writing, speaking, and open-source contributions