Senior QA Engineer with 4+ years in Manual & Automation Testing
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Results-driven QA Engineer with 4+ years of experience delivering high-quality releases across BFSI and AI-driven industrial analytics domains. Proven track record in end-to-end test ownership, API validation, and CI/CD pipeline execution. Actively building automation skills in Java, Selenium, TestNG, and Rest Assured — with hands-on API automation practice in a live product environment. Holds ISTQB CTFL certification and a Postman API Expert credential. Recognised with 6 awards for quality, performance, and knowledge sharing.
University of Mumbai
Bachelor of Science · Computer Science
August 1, 2017 – June 30, 2020
Aidentyx AI IND Pvt Ltd
Sr. QA Engineer
August 1, 2024 – Present
Mumbai, Maharashtra, India
Tata Consultancy Services
Manual Tester
May 1, 2021 – August 1, 2024
Mumbai, Maharashtra, India
Selenium UI Automation Practice
June 1, 2026 – Present
Developing test scripts using Selenium WebDriver with Page Object Model (POM) in Java to build end-to-end UI automation skills.
REST Assured API Automation Framework
June 1, 2026 – Present
Building a Java-based API automation framework using Rest Assured and TestNG with Maven, targeting regression coverage for Aidentyx product APIs.
ISTQB Certified Tester – Foundation Level
Indian Testing Board
January 1, 2024 – Present
Postman API Fundamentals Student Expert
Postman
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's experience spans BFSI and AI-driven industrial analytics, showing adaptability to different domains. Their active pursuit of automation skills (Java, Selenium, Rest Assured) and certifications (ISTQB, Postman) indicates a growth mindset and commitment to continuous learning, which is a strong cultural fit for dynamic engineering environments. The project diversity, though personal, shows initiative. However, the primary experience is in QA, not direct Java development, which might require a cultural shift in responsibilities and focus for a Senior Java Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills, including mentorship, knowledge transfer, and disciplined defect management. Their experience in leading knowledge transfer sessions and mentoring junior team members indicates good communication and leadership potential. The use of AI prompt frameworks for reporting suggests an analytical and structured approach to work. The candidate's proactive learning in automation also shows initiative and adaptability, which are valuable for operational fit.