QA Automation Engineer with 3+ years in Manual, Automation, and API Testing
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Assessing your cultural and operational fit
Software Test Engineer with 3.5 years of experience in Manual Testing, Automation Testing, API Testing, and Performance Testing for web-based applications. Strong experience in test case design, test execution, defect tracking, regression testing, and SDLC/STLC. Hands-on experience with Selenium WebDriver, Java, Cucumber BDD, Postman, Rest-Assured, and JMeter. Worked in Agile Scrum environments using JIRA for defect management.
Vaageswari College of Engineering
B.Tech · Electronics & Communication Engineering
January 1, 2016 – January 1, 2020
Sri Saradha Junior College
Intermediate
N/A – January 1, 2016
Vassar Labs IT Solutions Pvt Ltd
Software Test Engineer 2
September 1, 2022 – Present
India
Stanley Hattrick Door System
June 28, 2026 – Present
Evaluated a real-time smart door automation system across web and Android mobile platforms. Performed Android mobile application testing, including installation, UI validation, functionality, and usability testing on real devices. Validated real-time alerts and push notifications for door failures, obstruction detection, and prolonged open conditions. Verified end-to-end workflows, ensuring accurate alert triggering, system status updates, and technician dispatch processes. Conducted functional, regression, and integration testing across web and mobile applications. Collaborated with developers to identify, report, and resolve defects, improving system reliability.
SMA - Stanley Mobile Applications
June 28, 2026 – Present
Tested a web-based system for developing a robust system with three distinct user roles—Admin, Creator, and Approver—to manage access to Stanley files effectively. Validated that this role-based structure ensures that users can access and perform actions on Stanley files based on their assigned roles, enhancing security and streamlining workflow within the application. Executed functional, regression, and automation Testing. Tracked and verified defects using JIRA in an Agile environment.
Generative AI Testing – Connected Enterprise (Product)
June 28, 2026 – Present
Evaluated a Generative AI platform to reduce manual effort for customer support through email and chat. Validated entity recognition, intent classification, and sentiment handling across channels. Verified email conversations between CSRs and customers, including system states such as AI-Assisted, AI-Resolved, and PIM (Person-in-the-Middle) handling. Evaluated chat conversations at both conversation-level and multilingual-levels, ensuring language accuracy, context retention, and smooth handoff to human agents. Performed functional, regression, API testing and API performance testing using JMeter.
Cultural Fit Analysis
The candidate's experience across diverse projects, including Generative AI, mobile applications, and web-based systems with role-based access, indicates adaptability and a broad technical interest. The focus on improving efficiency through automation aligns with a proactive and results-oriented culture. Participation in Agile environments suggests a collaborative and iterative work style.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through active participation in Agile Scrum ceremonies and collaboration with developers for defect resolution. The project descriptions indicate an ability to work effectively in team settings and manage testing workflows. The experience in analyzing business requirements for test case preparation also highlights good analytical and planning skills.