Co-Founder & Forward Deployed Engineer @ TestRelic AI · 10+ years at the intersection of AI, test infrastructure, and developer tooling
I'm co-founding TestRelic AI — an AI-native test observability platform built for engineering teams running Playwright, Appium, and Maestro at scale.
As Forward Deployed Engineer, I work directly with early customers to make TestRelic the brain behind their test pipelines: from flaky test detection to AI-powered triage and natural language querying of test data.
Before TestRelic, I led product at Qyrus AI as Director of Products in AI Quality Engineering — owning a 10+ module enterprise testing platform across Web, Mobile, API, SAP, Data, and AI. Before that, at TestMu AI (LambdaTest), I scaled two products from zero through Series D.
AI-native test observability for teams who can't afford to lose trust in their pipelines.
| Capability | What It Does |
|---|---|
| AI Auto-Triage | Classifies every failure — flaky, env issue, or real regression — automatically |
| Ask AI | Natural language interface to query your Playwright test data without writing queries |
| Flaky Test Detection | Surfaces non-deterministic tests before they erode CI confidence |
| MCP Integration | Plugs into your existing developer toolchain via Model Context Protocol |
| SOC 2 Type II + GDPR | Enterprise-grade compliance, built in from day one |
| Product | What It Did | Outcome |
|---|---|---|
| TestRelic AI | AI-native test observability platform | Actively building |
| Qyrus TestOS | Enterprise platform: Web, Mobile, API, SAP, Data & AI testing | GTM + enterprise rollout |
| SmartUI – Visual Regression | Cloud-native screenshot diffing (Selenium, Playwright, Cypress SDKs) | Hit scale in months |
| Analytics & Insights | Flakiness detection, failure analysis & quality KPI dashboards | Enterprise adoption |
| Cloud Automation Grid | Unified multi-framework grid for Selenium, Playwright, Cypress | Pre-Series A → Series D |
I run QE Insights on LinkedIn — a personal brand at the intersection of AI-driven development, software quality engineering, and agentic AI systems.
Topics I cover regularly:
- AI factory testing & eval pipelines for non-deterministic systems
- Flaky test economics — the hidden cost nobody measures
- Vibe coding failure modes and what they mean for QA
- Test observability as the missing layer in the modern dev stack
- Agentic AI in CI/CD: where it's real, where it's hype
- How MCP changes the way QA tooling integrates into developer workflows
- Eval frameworks for agentic AI output validation
- Data quality testing as an emerging first-class category
- The 0→1 playbook for AI-native developer tools
Open to conversations on:
- Test infrastructure & observability — especially at AI-accelerated engineering teams
- Developer tooling 0→1 — go-to-market, forward deployment, early customer motion
- AI quality engineering — evals, triage, and governance for non-deterministic systems
If you're building something ambitious in testing or AI quality, reach out.