Real engagements. Measurable results.

The challenge

A 60-person engineering team shipping weekly releases with zero automated regression coverage. Every release required 3 days of manual testing, blocking the team and causing frequent production escapes.

Our approach

Designed a Playwright-based framework from scratch using Functional Decomposition. Built a full page-object layer, data utilities, and an Allure reporting pipeline. Integrated into Azure DevOps with parallel execution across 4 agents.

The challenge

An existing Appium suite with 60% flakiness rate — tests failing on every second run due to dynamic element IDs and timing issues. The QA team had stopped trusting the results entirely.

Our approach

Rebuilt the Appium framework with a stable locator strategy and integrated an AI self-healing layer that detects broken locators at runtime and recovers using semantic context. Added a human-review queue for every AI-made correction.

The challenge

2,400 manual test cases documented in Excel, a QTP suite that hadn't run in 2 years, and a new release cycle that demanded weekly regression. The team had no path forward.

Our approach

Audited the full manual suite, identified the 800 highest-value cases for automation, and built a WinAppDriver framework integrated with Selenium Grid. Migrated the QTP scripts where salvageable, rebuilt the rest. Delivered in 3 phases over 12 weeks.

The challenge

A fast-growing e-commerce platform with no API test coverage. Backend changes were breaking the frontend regularly, and the team had no visibility into API contract stability or database state after deployments.

Our approach

Built a RestAssured framework covering 120+ REST endpoints, with database assertion layers verifying order and inventory state end-to-end. Established JMeter performance baselines for peak load scenarios and integrated everything into GitHub Actions.