Building systems that help organizations make better decisions.
I build systems that help organizations make better decisions using data, process, and technology. My background spans customer and sales operations, where I built the standards, quality frameworks, and analytics infrastructure that aligned teams, clarified performance, and supported executive decisions. Today, I’m building an AI teaching assistant, powered by an engine that other instructors can use to create custom course assistants. By swapping data sources, rubrics, syllabi, proprietary research, instructors can deploy AI agents as textbook tutors, grading assistants, or research guides, across any discipline, without writing a line of code.
What I Build
Decision and Information Systems
I design systems that bring structure to ambiguity, turning fragmented data, informal processes, and implicit judgment into shared standards that teams can trust and scale.
Analytics Infrastructure and Quality Frameworks
From KPIs and scorecards to quality assurance programs and calibration models, I build the foundations that make analytics meaningful, repeatable, and trusted across the organization.
AI-Enabled Workflows
I’m currently developing an AI Teaching Assistant that formalizes evaluation criteria, enforces quality gates, and integrates human oversight. Moving from proof-of-concept to enterprise environments.
Featured Project
AI Teaching Assistant (Project Blackboard)
I’m building a production-grade AI Teaching Assistant that ingests student submissions, applies formalized rubrics, and supports batch grading with quality controls, auditability, and human-in-the-loop calibration. The system separates evaluation logic from tone, supports dry-run semantics, and is designed to evolve from proof of concept into an enterprise-ready application.
- Production FastAPI backend
- Structured rubric-based scoring
- Batch processing with idempotency
- Clear separation of logic, calibration, and presentation
Teaching and Education
I teach in the School of Business at Portland State University, where my focus is helping students understand how modern information systems actually work, from data modeling and databases to analytics workflows and emerging AI tools.
- Information Systems & Technology: Excel-based analysis, foundational IT concepts, and the evolution of modern data infrastructure
- Information Literacy: Database modeling, normalization, prototyping, and querying in real database environments
- AI Prompting & Case Studies: Practical exploration of AI capabilities, limitations, and responsible use in decision-making
Background
Before focusing on AI system development and teaching, I spent over a decade in customer and sales operations, leading teams and building the operational infrastructure needed to scale growing organizations. Across roles, my work consistently centered on aligning people, data, and process to support better decisions.