Fifteen years in QA — senior engineer, then manager — shipping software where bugs actually cost money. The last several have been in blockchain: smart contract testing, protocol regression, the particular quiet terror of deploying immutable code.
Gloxx is the QA partner I wished every blockchain team I'd worked with already had. Most have an auditor. Most don't have anyone making sure that between audits, the test suite stays honest and the release gate stays closed when it should. That's the gap we fill.
I built Gloxx because the industry has the wrong debate. The question isn't "can AI replace auditors?" The answer there is already clear: not yet, and probably not ever in the way the marketing decks promise. The real question is what a disciplined QA function looks like when you take AI seriously as a tool — not as a replacement for judgment, not as a shortcut past review, but as a force multiplier that still has to earn every line it ships.
That's the opinion behind every engagement: AI used carefully, with humans accountable for the output. Slither, Mythril, Aderyn, Foundry, Halmos, Echidna, Claude Code — real tools, real workflow, real review. Every test that ships with my name on it has been read by me.
What I've shipped in 15 years of QA
- Built the QA AI program at Prometheum, the SEC-registered digital-asset securities platform — putting agentic testing workflows on the release path for regulated tokenized-securities work.
- Ran QA for Safemoon through the 2021 cycle — release cadence, regression discipline, and on-chain behavior verification while the token peaked around a $4B market cap and sustained genuine user load.
- Led the QA function at LuminousDap, a blockchain development agency — setting how the team approached invariant testing, review rigor, and release gates across client protocols.
- Senior QA engineer at Proofpoint, the multi-billion-dollar enterprise security firm — shipping release-critical work across threat protection, email security, and information governance for customers with no tolerance for regression.
- Government contractor for the ATF (Bureau of Alcohol, Tobacco, Firearms and Explosives) — applications handling sensitive data, strict access controls, and the release discipline the federal threat model requires.
- Authored the release-gate checklist that's now the core of the Gloxx approach — refined over years of "what actually catches bugs before prod."
- Built internal AI-augmented testing tooling before Claude Code existed — early enough to know which parts of the workflow were genuinely improved by agents and which were just fashion.
If any of that sounds like the kind of partner you want on your release-critical path, let's talk.