M.S. Learning Design & Technology, University of San Diego · Expected Dec. 2026
Learning Design · Instructional Design · Learning Technology · AI-Enabled Learning
Learning designer building experiences and systems that help people move from friction to meaningful action.
I combine instructional design, learning science, facilitation, and technical prototyping to build learning experiences, performance supports, and early-stage learning systems.
Confusion Management Learning System
An instructional design case study designed to help learners diagnose confusion, choose the right support, and convert uncertainty into action through job aids, flowcharts, and an e-learning prototype.
Selected projects
/today → check-in → mode → next move → reflect → history
A working MVP that helps people choose the right next move based on their actual state—not an idealized version of themselves. Built around a canonical loop of check-in, interpretation, right-sized action, and reflection.
What it demonstrates
- Designing a self-regulation loop that connects state awareness, interpretation, action, and reflection
- Building a working full-stack MVP with Next.js, Supabase, authentication, stored results, and history
- Making human-centered product decisions by stabilizing the core non-AI loop before adding bounded AI
- Translating a messy human problem into a structured product experience
World → inquiry → structured journey → evidence → reflection → continuity
An independent education R&D venture exploring how questions, places, projects, sources, and lived experience can become cumulative learning. Current work includes LOCUS Core and Journey Studio, with a working First Landing vertical slice and generalized creator/learner workflows.
What it demonstrates
- Designing a learning-system architecture grounded in retrieval, scaffolding, reflection, transfer, and evidence
- Translating a long-horizon education thesis into working learner and creator prototypes
- Designing AI boundaries around learner agency, provenance, inspectability, and human judgment
- Building place-based and open-world learning workflows across Creator, Learner, Orchestrator, and Reviewer roles
- Using AI-native product development with explicit contracts, bounded model behavior, testing, and prototype honesty
Atmosphere, ritual, facilitation
A facilitation and experience-design project using gathering, ritual, and conversation to create environments for reflection and meaningful dialogue.
What it demonstrates
- Designing learning through environment and atmosphere
- Structuring open-ended experiences without over-controlling them
- Using facilitation and context to shape engagement
Graduate research and inquiry
Digital friction in learning environments
Contact Peter
Open to selective conversations about learning design, instructional design, learning technology, AI-enabled learning, and adjacent education-product roles, including full-time and contract opportunities.