Adam Matthew Steinberger Portfolio
Staff Software Architect & AI Automation Engineer
Built vibey, an open-source, PostgreSQL-backed conductor that runs five interchangeable coding-agent engines (Claude, Codex, Cursor, Gemini/Antigravity, Qwen) through one queue with enforced per-project cost caps — 1,440+ commits on GitHub and dogfooded to build the very site presenting it.
Location
Greenville, SC
Companies
Skills
Notable
- the-vibey-project/vibey on GitHub: 1,440 commits, 17 tagged releases, distributed as one PyPI package (uv tool install vibey)
- Author of "Novice to Navigator: Your Guide to AI Chatbots for Business" — first edition free to read, second edition in development
- GitHub profile independently corroborates the portfolio's bio, title, and location, and lists an ORCID researcher ID (0009-0007-6853-8981)
- 13+ years of Azure experience, including advisory work on identity governance for a SOX-regulated enterprise with ~5,700 workforce identities
What makes it work
A breakdown of the choices that make this portfolio stand out.
CLI walkthrough captioned with reasoning, not just syntax
The "Run the whole stack in ten minutes" section is six real commands (uv tool install vibey, vibey new, vibey doctor --conformance --record, vibey worker --provider claudeloop --engines claudeloop,agyloop -j 2...), each with a one-line caption explaining why the flag exists — "a real budget brake, enforced from the ledger" next to --max-cycle-dollars, "every database-backed command reads it; vibey never guesses a database" next to the Postgres URL. That is design reasoning exposed inline, not a generic quickstart.
Case studies labeled by role and led with hard numbers
Each of the five "Who's Behind It" cards carries an explicit role tag (SOLE ARCHITECT, CO-LEAD, SOLE AUTHOR, LEAD) and opens with a quantified claim instead of a summary sentence: "20 microservices, 585 test modules, human approval on every phase," "40 resource kinds reconciled from Git," "653 tests, 93% coverage, chaos-proved convergence." No adjectives doing the work that numbers should.
Three distinct audiences, three distinct proof artifacts
The "Who This Is For" section splits developers, governments/military, and universities into separate pitches, each pointing at a different kind of evidence: a contribution guide for developers, an audit-trail/local-model argument for government reviewers, and a formal paper plus a full documentation book for academics. That is deliberate segmentation, not one generic "hire me" page reused three ways.
The open-source claim is independently checkable, not just asserted
the-vibey-project/vibey on GitHub shows 1,440 commits, 17 tagged releases, and an active develop branch with a recent chore commit — not a single abandoned demo repo. The personal GitHub profile (adammatthewsteinberger) independently corroborates the same bio, title, and location shown on the portfolio site, and links back to it.
What AI Agent Architects can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
Caption every CLI or code snippet with the design reasoning behind it, not just what the command does — "a real budget brake, enforced from the ledger" tells a reviewer more than the flag name alone ever could.
Label each case study with your actual role on it (Sole Architect, Co-Lead, Lead) and open with a hard number — test count, service count, coverage percentage — before any summary sentence.
If your work genuinely serves different audiences, give each one its own section and its own proof artifact instead of one generic contact form.
Ship a real, versioned open-source package with tagged releases rather than a single unstructured repo — a visible release history (17 tags, 1,440 commits) is a credibility signal a recruiter can check without asking you.
State your documentation habit as a concrete analogy tied to your own domain ("I document everything for the same reason a RAG pipeline cites its sources") instead of the generic "I value documentation."
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