QA Automation Engineer with 2+ years in Python, Selenium & API Automation.
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Assessing your cultural and operational fit
QA Automation Engineer with 1.6+ yrs of experience in mobile automation, API automation testing, and smart meter systems. Specialized in backend validation, data reconciliation and debugging failures in containerized environments. Experienced in designing automation frameworks using Selenium, Playwright, Pytest and Cucumber integrated with CI/CD pipelines. Experienced in designing test automation logic, validating APIs, and improving regression efficiency. Strong understanding of automation frameworks, test design, and backend validation in Agile environments.
Bachelor of Business Administration IEC University (HP)
BBA · Business Administration
N/A – Present
Chandigarh University
MBA · I.T. Specialization
N/A – June 30, 2024
Beyondroot Technologies Pvt. Ltd.
Automation Tester (Quality Analyst)
September 1, 2024 – Present
Mohali, Punjab, India
Webinfomax IT Solutions
Software Associate (Quality Analyst- Intern)
April 1, 2024 – September 1, 2024
India
Smart Metering System
June 29, 2026 – Present
Automated API testing for smart meter services including meter data ingestion, billing, recharge, and command execution (connect/disconnect). Validated request/response payloads, schemas, workflows, and business logic using Rest Assured with Java. Tested prepaid and postpaid meter scenarios including balance updates, consumption tracking, and alerts. Implemented Hybrid Automation Framework combining API automation and UI validation using Selenium and PyTest. Designed automation scripts using Page Object Model (POM) for scalable and maintainable UI automation. Identified, reported, and tracked defects related to meter communication, billing accuracy, and API failures. Performed data-driven testing and implemented dynamic validation logic for handling complex scenarios. Worked with token-based authentication APIs and handled secure request execution. Reduced manual testing effort by automating repetitive and critical validation scenarios.
Gyro – GenAI Voice Assistant (Android Application)
June 29, 2026 – Present
Developed and tested a GenAI-based voice assistant capable of executing real-time voice commands and generating dynamic, context-aware responses using LLM integration. Performed end-to-end testing of the flow: Voice Input → Speech-to-Text → LLM Processing → UI Response rendering. Implemented and tested device-level automation commands including sending WhatsApp messages, toggling silent mode, controlling flashlight, and launching applications like Spotify. Validated AI-generated responses for contextual accuracy, consistency, and handling of ambiguous or incomplete user inputs. Tested speech recognition functionality across different inputs including noise, interruptions, and partial commands. Validate UI elements, responsiveness, workflows, and logic. Performed API testing for LLM integration including request/response validation, latency checks, and failure scenarios. Performed performance testing by measuring response latency and system behavior during continuous interactions.
Cultural Fit Analysis
The candidate's project diversity, ranging from smart metering systems to GenAI voice assistants, shows a broad interest in different domains and technologies. Their experience in both professional and internship roles, coupled with an MBA in IT Specialization, suggests a commitment to continuous learning and professional growth. The alignment with the QA Automation Engineer role is strong, indicating a good cultural fit for a team focused on robust quality assurance.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to automation and defect resolution, indicating good problem-solving and collaboration skills. Their experience in Agile environments suggests adaptability and teamwork. The detailed project descriptions highlight an ability to articulate technical processes and outcomes clearly.