Software Engineer

Ezzy Rappeport

I build AI systems, developer tools, and product software.

ezzyrappeport@gmail.comLos Angeles ↔ Santa Cruzezzyrappeport.com

Summary

I care about multi-agent systems, humane AI, and tools that compound impact rather than extract attention. My work lives between research and production: turning promising ideas into inspectable, dependable software.

Selected work

  • MONKEYCLAW

    2026

    Lead Engineer & Contributor

    The repo ships a working CLI, seeded demo, live multi-panel dashboard on :8787, eight verifier gates, attack coverage tracking, Telegram alert paths, and a regression model that treats silent controls as incomplete defenses.

    18 attack-surface zones · 8 verifier gates · 1,000+ tests

  • ETCH

    2026

    Founder & Engineer

    The saved vertical slice carries a synchronous FIFO through typed specs, three candidates, independent oracle artifacts, simulation and bounded-formal gates, Yosys 0.66 metrics, explicit missing-tool states, and Markdown/JSON proof dossiers. Physical signoff remains pending.

    A proven · 50-cycle sim · BMC depth 32 · Yosys 0.66

  • FLOWE

    2026

    Founder & CEO

    The repo has a generated Xcode project, production-shaped config boundaries, local Convex workflows, Canvas sync validation, authentication paths, widgets and Live Activities targets, and simulator build commands for the current iOS app.

    SwiftUI · Convex · Canvas · offline retry

  • VELOX

    2026

    Co-Founder & CTO

    The local app ships as a hackathon-ready alpha (v0.3.0) with predictive intent, visible agent tabs, live browsing evidence, cited answer generation, Markdown/JSON export, persisted session snapshots, and a one-command macOS boot path.

    Visible agent tabs · no-key demo · Markdown and JSON export

  • ARGYPH

    2026

    Creator & Engineer

    Argyph ships as a read-only MCP server and CLI through npm, crates.io, Homebrew, and release binaries, with incremental indexing and nineteen tools across retrieval, symbols, packing, and local memory.

    19 read-only tools · tiered local index · npm, crates.io, and Homebrew

  • NEXARAD

    2026

    Founder & Engineer

    The founder-ready walkthrough can boot the full local demo (`make up`), seed visible research-only studies and draft reports, rehearse uploads, and keep AI providers and PHI disabled by default (`ALLOW_PHI=false`).

    Synthetic DICOM demo · PHI disabled · external AI off by default

  • MATHPILOT

    2026

    Creator & Engineer

    The repository includes 613 curated Calc 1/2 problems (production banks around 600-760 per course), a native macOS build, diagnostic and practice loops, mastery and review systems, local homework analysis, ~246 unit tests, and ~26 end-to-end tests across 7 Playwright specs.

    613 curated problems · ~246 unit tests · ~26 end-to-end tests

Skills

  • Multi-agent systems
  • TypeScript / React / Next.js
  • Python
  • WebGL / GLSL
  • Systems design
  • Verification & evals
  • Product engineering
  • Founder / 0→1

Working principles

  • Systems over demosI care about the runtime, the failure modes, and the path from a promising prototype to dependable software.
  • Evidence over theaterThe strongest product story is a working system with visible constraints, measured outcomes, and honest boundaries.
  • Human agency firstAI should make people more capable without making the decisions, provenance, or consequences harder to inspect.