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carlwelchdesign/README.md

Carl Welch

Product engineer in Los Angeles building applied AI products, evidence-rich interactive systems, and creative software.

I take products from an unclear problem to a working, testable system—researching the domain, shaping the interaction, building across the stack, and checking where real-world constraints push back.

I’m especially interested in AI that supports judgment without replacing it: systems with traceable evidence, explicit human approval, and honest boundaries between a prototype, a validated build, and a released product.

Selected public work

Applied AI and decision support

  • Job Search OS — a local-first system for discovering opportunities, evaluating fit against candidate evidence, producing truthful application materials, and keeping consequential actions behind approval gates.
  • Inner Avatar — a reflective AI platform exploring consent-based memory, source transparency, governed knowledge, and reasoning visibility.

Creative software

  • ProgressionLab — an AI-assisted harmony and songwriting workspace with playable progressions, practical voicings, visualization, MIDI/PDF export, and sharing. Try the live app.
  • Wave Factory Essentials — offline audio plug-ins built with C++ and iPlug2, including Threefold Palm multiband dynamics and Valley Spirit pitch-shifting delay. Available as pre-release AU, VST3, and CLAP tester builds.

Interactive systems

  • Flight Tracker AI — a read-only aviation-intelligence portfolio project combining aircraft, weather, trajectories, and explainable attention signals on one navigable map.
  • EMF Visualizer — an interactive 3D laboratory for exploring electromagnetic emitters, interference patterns, and contested RF environments.

How I work

  • Product design and engineering stay in the same loop.
  • AI output is a proposal, not an authority.
  • Evidence, provenance, consent, and approval are product features.
  • A polished demo and a dependable product are different milestones.

Working with

TypeScript, React, Next.js, Node.js, PostgreSQL, OpenAI APIs, Rust, Axum, C++, iPlug2, Python, and the testing and observability work that makes these systems dependable.

Most of the work here is product exploration in public: some projects are deployed, some are actively being built, and some are deliberately bounded prototypes.

Pinned Loading

  1. progression-lab-ai progression-lab-ai Public

    AI-powered SaaS for generating chord progressions, voicings, and arrangement ideas with real-time playback, visualization, and sharing.

    TypeScript 2

  2. emf-disturbance-sim emf-disturbance-sim Public

    EMF Visualizer is an interactive 3D electromagnetic field lab built with Next.js and React Three Fiber, designed to simulate emitter behavior, interference patterns, and contested RF zones in real …

    TypeScript

  3. supraconscious-avatar-ai supraconscious-avatar-ai Public

    Inner Avatar is a full-stack SaaS application that leverages AI-driven analysis to transform journaling into a structured reflection system, surfacing patterns, contradictions, and behavioral insig…

    TypeScript

  4. jobsearch-dashboard-ai jobsearch-dashboard-ai Public

    Local-first AI job search dashboard that discovers and scores roles, manages candidate evidence, generates truthful application materials, tracks outcomes, and supports controlled application workf…

    TypeScript 3 1

  5. flight-tracker-ai flight-tracker-ai Public

    An interactive aviation-intelligence portfolio project for exploring regional aircraft, weather, trajectories, and explainable attention signals on one navigable map.

    Rust

  6. wave-factory-essentials wave-factory-essentials Public

    Cinematic offline audio plug-ins for macOS and Windows: Threefold Palm multiband dynamics and Valley Spirit pitch-shifting delay, built with C++ and iPlug2.

    C++