I find what breaks in hardware.
Now I build with AI that doesn't.
Five years validating BIOS, IPMI, and BMC/OpenBMC firmware for enterprise server and desktop platforms. Now applying that same rigor to AI-assisted testing, automation, and tooling.
Where the rigor comes from.
Quality Assurance Test Engineer
- Set up, configured, and troubleshot hardware/software prototype solutions for server and desktop platforms
- Built test cases and test plans, logged into bug-tracking systems for cross-team visibility
- Executed BIOS, Utilities, IPMI, and BMC testing, validating systems for compatibility
- Partnered with developers to reproduce, isolate, and resolve failures
- Delivered customer technical support with a 98% accuracy rating
Quality Assurance Technician (Intern)
Consumer Impact R&D (Intern)
Quality Assurance Technician (Intern)
What I bring to the table.
QA & Testing
Firmware & Hardware
Operating Systems
Automation & Scripting
Tools & Platforms
AI & Applied Automation — building
What's in the pipeline.
AI tooling aimed squarely at the hardware/firmware QA problems above — not generic AI demos. Swap each card's link in as repos ship.
BMC/IPMI Log Triage Assistant
In the queueParses raw BMC and IPMI sensor logs, flags anomalies against known-good baselines, and drafts a plain-English failure summary for the ticket.
AI Regression Case Generator
In the queueTakes a BIOS/firmware change spec and drafts candidate regression test cases for engineer review — AI proposes, the tester still disposes.
Ask-Your-Test-Results
In the queueA small retrieval layer over Jira and test-run history so anyone can ask "what failed on the Gaspergoo build?" in plain language.
Browse the repo queue on GitHub ↗
Credentials on the way.
ISTQB Foundation Level (CTFL) is a prerequisite for CT-AI v2.0.
Let's build something that doesn't break.
Hiring, collaborating, or just want to talk BMC firmware and AI tooling — the door's open.