Portfolio

Nelnet

MCP in Python Workshop Series

Designed and delivered a five-part, hands-on workshop series that taught engineering teams to build with the Model Context Protocol (MCP) in Python.

Microsoft

Evaluation & Observability for a Learning AI Agent

Owned the evaluation and observability workstream for an AI agent that quizzes learners on training content. Built the harness and tracing that let the team test the product while they were still building it.

Koch Industries

Conversational AI Agent for Learning

Built a conversational agent that helps users learn and apply principles from an upcoming business and life management book.

Metron-Farnier

IoT Billing System Architecture

Audited and redesigned the data architecture for an IoT water-usage monitoring application, then designed and built a new billing and bill-estimation system.

InSite Health

Healthcare Startup Engineering Transition

Led the engineering transition for a healthcare technology company moving from overseas contractors to US-based full-time employees, and delivered critical infrastructure and product improvements at the same time.

Stealth AI Startup

Cloud Infrastructure for AI Research Lab

Designed and built cloud infrastructure for an AI research lab startup, from discovery through implementation and handoff.

LogicMonitor

AI Agent Evaluation & Observability Framework

Built the evaluation and observability infrastructure for an experimental monitoring agent, so the team could iterate fast and see what the agent did in production.

Tribe AI

Enterprise Agent Framework Development

Contributed to Foundry, Tribe AI’s internal agent framework, which enterprise clients used to build agentic software quickly across a range of use cases.

Our Work