Production systems, architected by someone who has shipped under fire.

I am Anthony Michaelson, a senior software architect and technical founder — AI platforms, automation at scale, and zero-infrastructure product architectures, from five-person startups to Fortune 500 deployments.

Proof, not promises

$27M

New revenue from ML systems at enterprise scale

100K+

Production devices managed through automation platforms

3

Production systems shipped solo in the AI era

20+

Years from combat-deployed comms to audited DeFi protocols

Portfolio

Selected work by Anthony

Tekel — a barter economy, in software

Co-founder & CTO · token-mediated marketplace and protocol
Screenshots
ChallengeBarter breaks down the moment two parties value a trade differently — someone always comes up short, and the deal dies. Solving that normally means reintroducing a central currency and the dependencies that come with it. The goal was a marketplace where unequal trades still settle fairly, without a bank in the middle.
ApproachWe designed the economic mechanism, not just the app: a token that absorbs the imbalance in any trade, priced by an oracle built from the network's own trade data, with credit limits and a non-inflationary treasury funded by transaction fees rather than printing supply. On top of that protocol we built the full marketplace end to end — Stripe Marketplace for credit card processing and merchant payouts, escrowed payments, multi-party dispute resolution, milestone and time-and-materials billing, and five fulfillment models — across web, iOS, Android, merchant, and admin surfaces.
ResultA complete multi-sided commerce platform run by a one-person engineering org, on edge infrastructure at near-zero fixed cost — the trust mechanics (escrow, disputes, phased payments) that normally require dedicated payments and operations teams, delivered as a single coherent system.
Economic mechanism design
Edge-native
TypeScript
Stripe
Multi-platform

Municipal AI assistant — answers and acts

Principal Engineer (contract) · multi-tenant RAG platform for municipalities
Screenshots
ChallengeLocal governments field the same citizen questions endlessly, and the answers live scattered across their own websites and PDFs. A municipal SaaS provider needed a white-label AI assistant each city could brand and deploy against its own content — accurate enough for government use, and able to do more than just answer.
ApproachI built the core product end to end. The retrieval layer ingests a municipality's sites and documents, chunks and embeds them, and answers questions with citations back to the source — tuned for public-sector accuracy, with a debug pipeline that traces every answer to its origin. Then I took it past Q&A: a function-calling agent that files 311-style service requests conversationally, integrating with each city's existing systems, with autonomy configurable from fully automated to human-confirmed. The platform was engineered for SaaS economics — per-tenant isolation, token budgets, and admin tooling so non-engineers can onboard new tenants.
ResultA deployed multi-tenant platform that became the client's core offering — assistants that do not just inform citizens but complete transactions for them, reducing support load while keeping every answer auditable back to its source.
RAG
Function-calling agents
Multi-tenancy
AWS
Vector search