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CAPABILITIES — ONE PAGE

JASON TEIXEIRA

AI / QA / Automation Engineer — systems that prove they work

AUTOMATION I SHIP

  • CI/CD release gates & readiness reports
  • Browser + E2E test fleets
  • AI workflow evals & guardrails
  • Ops automation — webhooks, queues, integrations
  • Agent/MCP systems & internal tools
  • Data pipelines with integrity checks

FIXED-SCOPE ENGAGEMENTS

  • AI Workflow Build

    You get a working AI workflow with an eval harness, guardrails, and an approval queue — plus the golden set and runbook that keep it honest after handoff.

  • Test Coverage Sprint

    You get your critical flows under Playwright coverage, running in CI, with trace-backed reports your team can actually read.

  • Release Gate Setup

    You get a ship/no-ship verdict on every build — checks, scores, and a readiness report generated by CI, not by vibes.

SELECTED WORK — EVERY NUMBER TRACES TO AN ARTIFACT

  • Nexural QA OS — Signed-Evidence Runner FleetLIVE REPO + CI

    Every runner now emits hash-sealed evidence bundles (Ed25519 signing built in), `qa verify` validates any run directory, and an autonomous SDET loop generates passing tests.

    85 runners registered in the fleet · 52→91% measured line coverage · 3,698 tests behind ratcheting thresholds · 11 false-green honesty bugs fixed

  • Voza — 256-Screen Verification SystemLOCAL PROOF

    A registry-driven 4-tier verifier machine-computes a PROOF_REPORT no human can edit and auto-generates 257 Maestro device flows against the live backend.

    256/256 screens green on Tier 1–3 · 257 generated Maestro flows · 36/36 live service contracts wired · 176 production API routes behind them

  • sage-kernel + Course AuditorINTERNAL TOOLING

    A 140-tool MCP SDLC server with an HMAC-anchored proof ledger and AST engines, plus a Python course auditor extracting claim/source ledgers behind scored gates.

    140 MCP tools served over stdio · 68/68 release gates green · 17k+ claims extracted at baseline · 460+ lessons audited across 23 courses

  • Headless Dashboard Audit LoopLIVE PRODUCT

    A headless Playwright loop mints real JWT sessions, drives and scores every production route, then feeds failures into a triage → fix → re-audit cycle.

    92→99.6 route score average, 3 iterations · ~55 authenticated production routes · 0 console errors at final pass · 0 axe violations at final pass

  • GIGGL — Headless iOS Release LaneLIVE BACKEND

    A fully headless EAS build → TestFlight lane authenticated by an App Store Connect API key, plus a CI fix that made ~1,374 tests actually run.

    ~1,374 tests un-skipped by the CI fix · 8 social surfaces wired to live backend · 0048–51 production migrations shipped · 2+18 critical/high issues fixed pre-ship

THE TOOLBOX — ALL IN ACTIVE USE

  • TESTING & QA Playwright · Maestro (mobile E2E) · Vitest / Jest · axe-core · Lighthouse CI · visual regression
  • AI SYSTEMS Claude / OpenAI / DeepSeek APIs · RAG + embeddings · eval harnesses · LLM-as-judge · MCP servers
  • LANGUAGES TypeScript · Node.js · Python · SQL · Bash
  • PIPELINES & DELIVERY GitHub Actions · CI release gates · Docker · Vercel · EAS / TestFlight · webhooks · queues · cron
  • DATA & OBSERVABILITY Postgres / Supabase · DuckDB · Redis · Stripe API · Sentry · PostHog