Jay Gandhi

Meera is an AI-powered conversational platform that creates intelligent bots for text messaging and voice calls. Bots are fully configurable based on Industry, Sub-Industry, Skills, and Use Cases — serving verticals like Insurance, Higher Education, Financial Services, Healthcare, and Home Services.

The platform also features automated outbound calling with intelligent follow-ups, callback scheduling, and warm call transfers to human agents — all driven by user inputs and conversation outcomes.

• Led full QA strategy for the platform — from test planning and case authoring to framework build and release signoff
• Designed and built a Cypress E2E automation framework using Vibe Testing methodology to simulate real-world multi-turn conversation flows
• Leveraged Claude Code and GitHub Copilot to accelerate test script generation for complex auto-calling and follow-up scenarios
• Validated bot configuration workflows across industry verticals — Insurance, Fintech, Healthcare, EdTech & Home Services
• Conducted comprehensive API testing for bot orchestration, call routing, and CRM integrations (Salesforce, HubSpot, Five9) via Postman & Swagger
• Verified multilingual messaging across 90+ languages and validated TCPA-compliant workflows for regulatory adherence
• Collaborated with AI and product teams to define edge cases for conversational AI responses and flow integrity

REX is a full-scale digital platform purpose-built for the construction industry, integrating a CMS, responsive web application, and native mobile apps (iOS & Android). It supports both enterprise clients and individual contractors with features including AI-assisted support, document management, project analytics, training modules, and subscription billing.

• Architected and built the entire Cypress automation framework from scratch using Vibe Testing methodology — reducing regression cycle time from 3 days to under 4 hours
• Used Cursor AI editor for intelligent test script refactoring and maintenance as platform features evolved rapidly
• Led QA across CMS, web, iOS & Android applications — covering AI-assisted support, document workflows, analytics dashboards & subscriptions
• Created comprehensive test plans covering functional, regression, performance & API testing to ensure data integrity across user roles
• Collaborated closely with product & engineering teams to define acceptance criteria from early sprint planning

U-LEARN is a comprehensive digital education platform connecting schools, teachers, students, and parents from early childhood through graduation. The platform delivers learning content, progress tracking, communication tools, and administrative workflows across web and mobile applications.

• Developed a Playwright automation framework with Page Object Model (POM) design, achieving 85%+ automated test coverage across web & API layers
• Authored test cases directly from user stories, ensuring complete requirements traceability and acceptance criteria validation
• Performed comprehensive API testing to verify data flows between schools, teacher portals, student dashboards, and parent views
• Conducted regression, functional & exploratory testing across web and mobile (iOS & Android) with every sprint release
• Managed defect lifecycle in Jira, providing detailed bug reports and collaborating with dev teams for rapid resolution

U-MART is a multi-role marketplace platform serving three distinct user personas: end customers, delivery agents, and platform administrators. The system handles the full e-commerce lifecycle — product browsing, ordering, real-time delivery tracking, and admin management — across both mobile apps and web interfaces.

• Directed end-to-end QA across all three user roles — customer, delivery agent & admin — on mobile (iOS/Android) and web
• Built Selenium-based automation suite targeting critical purchase and delivery flows, reducing manual regression effort significantly
• Conducted API validation using Postman for order management, delivery tracking, and inventory synchronization endpoints
• Authored detailed test cases ensuring cross-platform consistency and performance reliability under load conditions
• Managed all defects through Jira, maintaining a clear audit trail and sprint-by-sprint quality metrics

Pension Vault is a secure financial platform for pension management with four distinct user roles — employees, employers, pension administrators, and auditors. The platform handles pension contributions, fund tracking, reporting, and compliance across regulatory frameworks.

• Managed QA for all four user roles, designing role-specific test plans and ensuring data isolation between user types
• Implemented structured test plans covering functional, security, regression & UAT testing for all financial transaction flows
• Validated APIs using Swagger and Postman for pension calculation engines, contribution tracking & report generation
• Ensured zero-defect financial computation accuracy — critical for regulatory and audit compliance
• Coordinated release readiness gates and final sign-off with product & compliance stakeholders

CREDEBT is a fintech platform offering businesses access to trade finance and credit alternatives — providing liquidity solutions outside traditional banking. The platform manages the full credit application, approval, funding, and repayment lifecycle.

• Delivered full-cycle QA from test planning through production signoff — owning test case design, execution & defect management
• Built Selenium automation framework targeting critical credit application, approval & repayment user journeys
• Conducted thorough API testing via Swagger and Postman, validating financial calculation accuracy and third-party integrations
• Performed regression, functional & UAT testing across all platform modules with every major release
• Maintained a stable, scalable product through multiple feature releases supporting growing business volumes