🎯 At PowerSchool

• 🏆 Zero P0 incidents across 4+ years leading Schoology QA strategy
• 🤖 Architected a multi-agent test platform — Copilot Background Agents + Playwright / Browser / Jira MCPs
• 🧠 Shipped an AI Context Graph → 90%+ first-pass test accuracy, zero hallucinated steps
• 📈 API regression coverage 55% → 95%; 80% QA effort reduction across the tribe
• ⚡ Cut regression runtime ~70% with containerized, parallel cloud-native runners
• 👨‍🏫 Mentor 20+ engineers across 6 Agile squads

🔥 At FireEye (Mandiant)

• 🏗️ Built UI + security test frameworks from scratch for Linux, Windows & Mac endpoint products
• 📉 Cut release escape defects ~35% release-over-release
• ⚡ Shortened regression cycles ~40% with Python + Nosetests E2E suites across 8+ releases
• 🚦 Part of the Go/No-Go release decision team; ran CI/CD on Jenkins
• 👨‍🏫 Uplifted 15+ incoming engineers on Python, Selenium & Robot Framework practices

🛡️ At Quick Heal

• 🔬 Automation-first malware triage — reclaimed ~12 analyst-hours/week for deeper threat research
• 🚨 Led 50+ customer escalations & RCAs, feeding insights into product detection roadmap
• 🛠️ Shipped 2 threat-detection capabilities into Quick Heal products (millions of endpoints)
• ✍️ Published security blogs read by thousands

🚀 Innovation Highlights

• 🧠 AI Context Graph adopted by 3+ product teams as the self-healing QA backbone
• ♿ Specialist QA agents for accessibility (WCAG 2.1), i18n & security NFR validation
• 📊 MERN-stack release cockpit → checklist time ~4 hrs → ~15 mins
• 🔄 Record-&-Play → Playwright test converters
• 🛡️ Reusable DevSecOps blueprint — OWASP ZAP + Burp + SAST gates, caught 30+ vulns pre-prod

Autonomous QA agent for VS Code / Cursor that treats your PR as the prompt.

• 🧠 Three-agent pipeline: Git diff → AST Context Graph → LLM orchestrator over MCP
• 🪢 Maps every changed symbol to its real consumers via ts-morph — no hallucinated imports
• 🧪 Emits grounded Jest / Vitest / Playwright / Cypress tests in a human-review pane
• 🔌 Model-agnostic (OpenAI, Anthropic, local llama.cpp) via Model Context Protocol
• 🛡️ Strict JSON contract + human-in-the-loop — zero silent writes

Playwright E2E suite that rewrites broken selectors on the fly — no LLMs required.

• 🧬 Captures a semantic fingerprint per element (text, label, ARIA, siblings, classes, attrs)
• ⚖️ Scores live DOM candidates with six weighted signals (text 0.45 → id 0.05)
• 🔁 Emits both CSS & XPath, re-captures after each heal — future-proof across refactors
• 🔍 Fully deterministic: zero LLMs, zero API keys, every decision is reproducible
• 📜 JSON audit trail per heal — CI- and compliance-friendly