I build and scale automation systems that increase release confidence across mobile and web products.
My focus is deterministic test architecture, stable CI quality gates, and practical AI-assisted QA workflows.
I care about engineering-grade reliability, maintainability, and actionable quality signals.

• Mobile automation (Android/iOS), UI automation, API automation
• Deterministic framework design, selector strategy, flaky-test reduction
• Risk-based regression, end-to-end quality gates, test observability

• JavaScript / TypeScript
• Python
• SQL

• Maestro, WebdriverIO, Appium, Playwright
• API testing toolchains, Postman
• Visual validation and screenshot diff workflows

• GitHub Actions, Jenkins, GitLab CI
• Dockerized test execution
• Pipeline gating, reporting, and artifact-driven debugging

Deterministic-first orchestration runtime that turns human-written mobile scenarios into executable Maestro flows.
Emphasis: hierarchy-first selector resolution, runtime validation loops, AI as fallback (not control plane).

Contributions and advanced implementation patterns for maintainable E2E architecture, suite stability, and scalable execution.

Visual regression pipeline with actionable diffs, optimized for CI usage and low-noise result analysis.

• Advancing AI-assisted mobile QA with deterministic runtime validation
• Improving Maestro scenario execution and selector reliability
• Building CI-native quality signals that map test outcomes to release risk