Sundar Kande

SRTM University

Bachelor of Engineering · Electrical

August 1, 2018 – June 30, 2018

Digitaiken

QA Product Testing

July 1, 2022 – December 1, 2025

India

Hospitality Quicklink service

June 11, 2026 – Present

Designed and executed comprehensive test cases and test strategies for a hospitality management platform, enabling guests to order services, raise tickets, and request cabs via QR code scanning from hotel rooms. Performed end-to-end API testing using Postman for backend services integrated with LLM/agent systems, validating voice-driven interactions with a 3D avatar for food requests, booking cabs, and nearby place recommendations. Produced an in-depth Test Completion report detailing 98% test coverage, 12 critical issues resolved, and 5 new features tested, instrumental in meeting project milestones and ensuring product quality. Evaluated LLM and agent outputs for accuracy, relevance, and scope alignment, including testing AI-generated responses for voice-based guest interactions and dynamic UI elements (dashboard color schemes, AI avatar backgrounds). Validated role-based access control (RBAC) across L1, L2, and L3 user roles, ensuring proper authorization, notification visibility, and permission hierarchies for admin and sub-admin dashboards. Rigorously tested cross-platform push notifications across multiple mobile devices, ensuring reliable delivery and display for mobile apps, admin dashboards, and sub-admin interfaces. Conducted end-to-end integration testing across the complete product ecosystem, including mobile apps, admin/sub-admin dashboards, and real-time notification systems. Verified guest-facing features such as QR code-based service ordering, complaint ticket generation, and AI-driven functionality for multiple hotel properties (Green Park Group, Aliste Hotel). Performed manual testing of POS food ordering workflows, including functional testing, UI validation, and end-to-end scenarios such as order creation, item modification, tax calculation, and bill splitting across mobile app, admin dashboard, and POS terminal. Executed exploratory testing, boundary value analysis, and negative testing on POS integration with QR code-based in-room ordering, validating order status synchronization (placed → confirmed → prepared → delivered) and real-time updates to kitchen display systems.

Hospital Management Carepoint Service

June 11, 2026 – Present

Authored and maintained detailed Test Cases, Test Scenarios, and Traceability Matrices for patient registration, AI-driven appointment booking, voice navigation, map navigation, and QR-based kiosk-to-mobile workflows for Apollo and Artesmis hospital products. Performed debugging, log analysis, and network validation using Chrome DevTools, primarily utilizing console logs for AI flow analysis and identifying response anomalies. Tested an AI-driven Healthcare Management System with LLM integration, validating patient registration, appointment booking via 3D Avatar, and voice-based navigation workflows. Performed LLM Response Evaluation Testing, identifying issues including hallucinations, biased outputs, and incorrect data mapping through multiple test iterations and console log analysis. Tested 3D Avatar behavior, including facial expressions, animations, voice/microphone interactions, background rendering, and screen navigation without manual touch input, ensuring seamless AI-driven patient self-service. Validated kiosk-to-mobile QR navigation and UI responsiveness, ensuring seamless AI-based navigation across devices without manual input. Applied Risk-Based Testing & Shift-Left Approach, ensured data integrity across integrated modules, and provided early feedback to improve performance, response time, and overall system reliability. Performed UI/UX validation with an end-user mindset, evaluating component appearance, screen transition flows, AI-driven navigation responsiveness, and overall system reliability across patient registration and appointment booking journeys. Managed defect lifecycle using Jira and ClickUp, tracking bugs from identification to closure, prioritizing critical issues related to AI hallucinations, response biases, database mismatches, and navigation failures with detailed reproduction steps. Conducted cross-platform compatibility testing across Web, Android, iOS, and Kiosk devices, ensuring consistent functionality, push notifications, and real-time data synchronization across all touchpoints.