Professional Experience
Enterprise AI engineering, evaluation, and system architecture for Fortune 500 companies, healthcare institutions, and high-stakes production workflows.
AI Engineering at Artium AI
Delivered production AI systems with a focus on agentic architecture, reliability, and operational trust.
Mayo Clinic
2024
Multi-agent RAG system accelerating medical research and discovery for one of the world's leading healthcare institutions.
AI Capabilities
Key Highlights
- Designed and implemented multi-agent architecture for medical research
- Built retrieval-augmented generation (RAG) system for knowledge synthesis
- Enabled researchers to accelerate discovery through AI-powered insights
eBay
2025
Enterprise-scale Agentic AI system optimizing legacy seller workspaces.
AI Capabilities
Key Highlights
- Architected agentic AI workflows for enterprise-scale deployment
- Integrated AI capabilities into legacy seller workspace systems
- Deployed production AI at massive scale
Trust & Will
2024
Attorney-in-the-loop automation system digitizing estate planning practices with human oversight and AI efficiency.
AI Capabilities
Key Highlights
- Designed human-in-the-loop AI architecture for legal workflows
- Automated estate planning document generation and processing
- Maintained attorney oversight while increasing efficiency
Arrive Health
2024
Complex AI flows condensing critical clinical information to support patient care and healthcare decision-making.
AI Capabilities
Key Highlights
- Built AI systems for clinical information processing
- Designed complex information extraction pipelines
- Enabled AI-driven summarization for critical patient support
Additional Experience
Full-stack development, data engineering, and ongoing client support.
Ford Motor Company
Led critical modernization efforts across Ford's autonomous vehicle and global payments divisions.
Key Highlights
- Spearheaded large-scale IAM platform modernization for autonomous vehicles
- Applied strangler fig pattern to replace decades-old legacy systems
- Built secure IAM platform in Java Spring Boot + GraphQL
TriMet
Built and maintained enterprise Python ETL applications for Oregon's largest public transportation agency.
Key Highlights
- Built enterprise Python ETL applications integrating Oracle EBS
- Enabled faster delivery and cross-team collaboration
- Championed Agile practices, TDD, and pair programming
Hillcrest Ski & Sports
Built and continuously maintain e-commerce platform driving over $1M in annual sales. Ongoing client with active support and feature development.
Key Highlights
- Built company's first dynamic e-commerce platform (2020-2021)
- Transformed static site into real-time multi-channel fulfillment system
- Integrated 23,000+ SKUs with automated data pipelines
Education & Expertise
Academic Background
MS Computational & Applied Mathematics
Portland State University, 2015-2017
Software Development Bootcamp
The Tech Academy, 2019
Core Competencies
- Agentic AI Architecture, Evals & Reliability
- Statistical & Mathematical Modeling
- Multi-Agent & RAG Architectures
- Continuous Alignment Testing (CAT)
- Enterprise Software Architecture