Hillcrest Ski & Sports
Directly associated with one of 8 official OpenAI partners worldwide

Expert in AI Engineering forProduction Systems

Creator of Continuous Alignment Testing (CAT), bringing statistical rigor and mathematical foundations to enterprise AI systems at Mayo Clinic, eBay, Trust & Will, and Arrive Health.

Multi-Agent Systems

Production-grade RAG & agentic architectures

Statistical Rigor

MS Applied Mathematics background

Enterprise Scale

Fortune 500 deployment experience

Featured Work

Production AI systems for Fortune 500 companies, interactive projects, and technical thought leadership.

eBay logo

eBay

2025

AI Engineer (via Artium AI)

Enterprise-scale Agentic AI system optimizing legacy seller workspaces.

AI Capabilities

Agentic AI ArchitectureLegacy System IntegrationIntelligent Workflow AutomationEnterprise-Scale AI Deployment

Key Highlights

  • Architected agentic AI workflows for enterprise-scale deployment
  • Integrated AI capabilities into legacy seller workspace systems
  • Deployed production AI at massive scale
PythonTypeScriptOpenAIAgentic FrameworksEnterprise APIs
Mayo Clinic logo

Mayo Clinic

2024

AI Engineer (via Artium AI)

Multi-agent RAG system accelerating medical research and discovery for one of the world's leading healthcare institutions.

AI Capabilities

Multi-Agent SystemsRetrieval-Augmented Generation (RAG)Medical Knowledge SynthesisProduction AI Monitoring

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
PythonLangChainVector DatabasesOpenAI GPT-4RAG Architecture
Trust & Will logo

Trust & Will

2024

AI Engineer (via Artium AI)

Attorney-in-the-loop automation system digitizing estate planning practices with human oversight and AI efficiency.

AI Capabilities

Human-in-the-Loop AILegal Document AutomationWorkflow OrchestrationCompliance Monitoring

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
PythonOpenAI GPT-4Workflow OrchestrationDocument Automation
Ford Motor Company logo

Ford Motor Company

Software Engineer → Engineering Manager

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
Java Spring BootGraphQLReactStripe.jsPython
TriMet logo

TriMet

Software Engineer, Data Engineering

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
PythonOracle EBSETL PipelinesSQLAgile/TDD
Hillcrest Ski & Sports logo

Hillcrest Ski & Sports

Software Developer → Principal Consultant

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
ReactNode.jsPythonE-commerce APIsData Pipelines
Reliability Testing for LLM-Based Systems
20 min read
AI EngineeringSep 11, 2024

Reliability Testing for LLM-Based Systems

The CAT Framework White Paper

Comprehensive framework for conducting reliability tests on LLM systems using validators, verifiers, and reliability tensors. Includes binomial experiments, generative conditional validators, and production monitoring strategies.

#CAT Framework#Reliability Testing#LLM Systems
Read Article
Agentic Architecture
10 min read
AI EngineeringSep 11, 2024

Agentic Architecture

Structuring Agent-Tool-User Interactions

A structured approach to modeling interactions between agents and tools through chat histories, cycles, and graph-theoretic representations. Foundational concepts for understanding agentic AI systems.

#Agentic AI#Architecture#Graph Theory
Read Article
Formalized Structures: The Algebra of Agentic Architectures
15 min read
Technical Deep DiveMay 11, 2024

Formalized Structures: The Algebra of Agentic Architectures

Mathematical Formalization of Tool-Using AI Systems

Mathematical formalization of agentic AI through tool call matrices, selection masks, and tensor operations. Defines the algebra underlying agent-tool interactions with formal propositions and proofs.

#Mathematics#Agentic AI#Formal Methods
Read Article
The Mathematics of Trust
10 min read
Technical Deep DiveSep 10, 2024

The Mathematics of Trust

Graph Theory and Bayesian Analysis for AI Reliability

Mathematical foundations powering AI reliability. Explore graph-theoretic models, Bayesian frameworks, and tensor analysis that make agentic systems provably reliable.

#Mathematics#Graph Theory#Bayesian Analysis
Read Article
Graph Theoretic Multi-Agent Dynamics
AI/ML

Graph Theoretic Multi-Agent Dynamics

My First Python Script

Mathematical simulation of autonomous agents reaching consensus through graph-based communication. Graduate thesis work in Applied Mathematics.

PythonNumPySciPyMatplotlib+1 more
View Project
Guitar Major Triads Visualizer
Full-Stack

Guitar Major Triads Visualizer

Interactive Chord Voicing Explorer

Physics-based fretboard visualization of major triads across all string groups with circle of fifths color coding and Web Audio playback.

Next.js 14TypeScriptVitestWeb Audio API
View Project

Continuous Alignment Testing (CAT)

A framework for validating and monitoring agentic AI architectures in production. Using reliability tensors, validators, and statistical rigor to ensure AI systems behave consistently and predictably at scale.