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42amps/README.md

Hi

I build applied AI and product systems for messy information workflows: RAG, document intelligence, agent workflow state, payout correctness, and backend/product infrastructure.

Portfolio · LinkedIn · Email

Building Now

  • Stateframe - file-first state ledger for long-horizon agent workflows.
  • PayRail - payout correctness demo with idempotency, ledger accounting, row locks, and state transitions.
  • AI Systems Notes - technical writing on RAG, agents, document AI, retrieval, and backend correctness.

Featured Proof

Project What it proves Stack / Focus
Stateframe Agent workflow state, handoff packets, inspectable task ledgers TypeScript, CLI, JSON Schema, agents
PayRail Backend correctness for payout flows and double-spend prevention Django, PostgreSQL, React, Docker
AI Systems Notes System-design thinking around applied AI and retrieval RAG, document AI, evaluation, technical writing
Portfolio Recruiter-facing project surface React, TypeScript, Tailwind

I Work With

Python, TypeScript, React, Next.js, Django, PostgreSQL, Supabase, Docker, Node.js, Tailwind, Git, GitHub

Secondary / Archive

VRAG, bus-fleet, and Cybersec_Exp are public learning/prototype repos. My main proof-of-work is Stateframe, PayRail, AI Systems Notes, and Portfolio.

Pinned Loading

  1. ai-systems-notes ai-systems-notes Public

    Technical notes on agent state, RAG systems, payout correctness, document AI, and backend/product engineering.

  2. PayRail PayRail Public

    Real-time payout engine demo with append-only ledger accounting, idempotency, row-level locking, and payout state transitions.

    Python

  3. portfolio portfolio Public

    Portfolio for applied AI and product engineering work: Stateframe, PayRail, AI systems notes, and selected projects.

    TypeScript

  4. stateframe stateframe Public

    File-first task-state ledger for long-horizon agent workflows, recovery, retries, and inspectable state transitions.

    TypeScript