Software engineer,
systems generalist.
Data platform engineer and AI advocate in Chicago, building reliable infrastructure at scale since 2007.
I'm on a data platform engineering team, working with Airflow, Kafka, Snowflake, and the usual suspects around data pipelines and warehouse infrastructure. Before this I spent years in distributed systems, platform engineering, and architecture, building developer platforms from scratch and running production at scale. AWS Certified Solutions Architect.
I'm also an AI advocate at work, focused on finding practical applications for LLMs and agentic workflows across the engineering org. I go deep when needed (kernel parameters, GPU passthrough, audio latency) and wide when the architecture calls for it.
I run NixOS on all my machines. My home network doubles as a lab for container orchestration and local AI experiments on consumer GPUs.
Career
Data pipelines, developer platforms, infrastructure, AI advocacy.
AWS, Terraform, containers, GraphQL across production environments.
PHP, shell scripts, system administration.
Skills & tools
Languages
Data platform
Infrastructure
AI & ML
Systems
- Design Patterns
- SRE
- Domain-Driven Design
- SICP
- UNIX: A History
- Microservices Patterns
Working on data platforms, AI tooling, or infrastructure?
I'd be glad to compare notes.