macOS · Available now
Markdown, treated like a Mac document.
I built the native document experience, exact-source editing, and Finder integration.

Software Engineer / AI Systems / Founder
I build AI systems, developer tools, and product software.
Explore workBased in California
01 / SELECTED WORK
Native software and agent systems.
The decisions behind the work.Drag the artwork. Explore the case study.
macOS · Available now
Markdown, treated like a Mac document.
I built the native document experience, exact-source editing, and Finder integration.
MC-2026-0001
A backup request crossed the sandbox boundary.
Agent security
Tests agent sandboxes, reproduces failures, and checks that defenses leave evidence.
My contributions: native telemetry ingestion, transcript replay, and the evidence dashboard. Follow one recorded demo finding.
iOS · Planning & focus
Coursework, calendars, and focus in one iOS app. Start with a brain dump; leave with a plan for today.
A native SwiftUI build with Canvas sync, real-time tasks, and offline retry.
Hardware design
AI-assisted hardware design where generated RTL earns its way through verification.
A saved FIFO design run with simulation, bounded-formal checks, and a proof dossier. Physical signoff pending.
Developer tools
Useful codebase context for coding agents, through one local MCP server. No cloud account required.
A released Rust CLI with 19 tools, distributed through npm, crates.io, and Homebrew.
A Chromium browser where research agents work in visible tabs.
Evidence-linked imaging workflows with strict non-clinical demo boundaries.
A calculus study app that connects diagnosis, practice, and review.
A coding-agent workspace built around a Rust execution kernel, scoped tools, and verification. Still in development.
Department agents hand work across permission boundaries, with human approvals and traceable receipts.
From donation photos to food-rescue offers and real-time recipient matching.
Meeting notes become clear recaps, assigned actions, and follow-through.
Scholarship discovery, eligibility filtering, and application preparation with human review.
02 / A LITTLE ABOUT ME

I build product interfaces and the systems that make their behavior understandable.
In Downright, that means preserving a person’s source text through reading, editing, and external changes. On MonkeyClaw, my work connected native telemetry, transcript replay, and a dashboard that keeps evidence in view. Those are different products, but the details that preserve trust matter in both.
I’m based between Los Angeles and Santa Cruz, and open to software and AI opportunities.
View résumé