engineer / infrastructure / systems
I build useful software across backend systems, AI-assisted workflows, and the web. I like making complex tools feel simple and finding practical ways to turn ideas into working systems.
I studied computer science at Cal Poly, concentrating in artificial intelligence and machine learning. Outside of work, I enjoy building projects and tinkering with my homelab.
Supported requirements gathering and testing for AI tools used by consulting teams. Prepared business requirements and test scenarios with AI-assisted workflows, incorporated stakeholder feedback, and documented technical workflows for non-technical audiences.
Built schema-driven tools for ServiceNow workflows in HelixGPT and an AI-assisted QA system that generated tests from Jira tickets. Used retrieval and feedback to improve test quality.
Supported biomass research and worked with LabVIEW, networked sensors, and hardware controllers for a fluidized bed gasifier.
Self-hosted Talos Kubernetes cluster managed with Flux, running personal apps with Longhorn storage and Cloudflare-backed networking.
Python tools for generating evaluation and comparison reports for scikit-learn models, with configurable metrics, plots, and exports.
Implemented and compared search, simulation, and reinforcement-learning agents for 2048, with a Flask interface for exploring their behavior.