Applied AI · Music technology · Distributed systems · Education
Build systems people can understand, use, and trust.
I build practical intelligent systems and help people cross the gap between what new technology can theoretically do and what they can actually put to work.
Selected work
Different domains. The same instinct: make the relationships visible.
These projects move between music, AI, distributed systems, control, and education while keeping the machinery inspectable.
Current product
Playable Doodles
Draw a shape on an iPhone or iPad, touch it, and it becomes an instrument. Native Swift, procedural synthesis, multi-touch performance, editing, loops, recording, and WAV export.
Open repositoryOpen research kit
WRM Core Kit
A small, inspectable framework for experimenting with trust pulses, coherence, distributed state, and evidence-aware system behavior.
Open repositoryOffline-first demo
Freezer Starter
Nodes broadcast local presence over UDP while a hub visualizes live, stale, and missing behavior. Optional Ollama grounding stays on the machine.
Open repositoryThermal Listening Lab
A research simulator comparing conventional and evidence-aware control strategies under drift, moving hotspots, recovery, sensor faults, and actuator mismatch.
WRM Integration Spine
A lightweight event architecture connecting observation, posture, memory, human gates, and reporting.
signal → posture → memory → human gate → report
Relational Music Research
Experiments asking whether transformations and interval structure can carry useful predictive information even when absolute labels change.
Research direction
Listen before acting.
Waveform Resonance Mechanics is an experimental framework for reasoning about change, context, trust, recovery, and restraint in distributed intelligent systems.
Preserve evidence. Treat uncertainty as information. Keep human judgment visible.
Design principles
- Evidence should precede automation.
- Human judgment should remain visible.
- Recovery is part of intelligence.
- Explainability is an operational feature.
- Local-first is preferable when practical.
- Restraint can be a sign of competence.
Published writing
Ideas made public and accountable.
2600
Fall 2025 · 2600: The Hacker Quarterly
“Resonark: Beyond the Interrupt — AI, Harmony, and the Future of Intelligence”
Published as Orpheus Node with the Resonant Synthesis Collective.
What I do for people
Translate capability into something that works.
I work best in the messy middle: the goal is clear, the technology is promising, and the path between them still needs to be discovered.
Build
Rapid prototypes, local AI, distributed experiments, iOS tools, dashboards, integrations, and testable research systems.
Translate
Bridge engineers, operators, teachers, executives, and end users without pretending that everyone needs the same vocabulary.
Teach
Make new technology understandable enough that teams can question it, operate it, and keep improving it themselves.
AI implementationTechnical prototypingWorkflow designLocal-first systemsTechnical education
Resonant Systems Collective
Have a useful idea trapped behind technical friction?
That is exactly the kind of problem I like. Based in Fairfield County, Connecticut; available for collaborations, prototypes, implementation work, and technical education.