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QA Automation Engineer with 4+ years in Selenium, Java, and API Testing
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Assessing your cultural and operational fit
Automation Test Engineer with 4 years of experience building Selenium/Java frameworks that cut regression execution time by 60% and enabled same-day release validation. Delivered 200+ automated test cases across healthcare, insurance, e-commerce, and media graphics domains. Known for designing Hybrid Frameworks (POM + Data-Driven) from scratch, integrating CI/CD pipelines, and eliminating manual bottlenecks so QA becomes a release accelerator, not a gate.
Sinhgad Institute of Technology, Lonavala
B.E. · Mechanical Engineering
August 1, 2021 – Present
Main Rajaram Junior College, Kolhapur
HSC
June 1, 2015 – Present
Shree V.J. Deshmukh High School, Kolhapur
SSC
June 1, 2013 – Present
PSR TechInfo
Automation Test Engineer
June 1, 2024 – Present
Kolhapur, Maharashtra, India
Beehive Systems Pvt. Ltd.
Software Test Engineer
April 1, 2023 – January 1, 2024
Noida, Uttar Pradesh, India
Webcrypt Technology
Automation Test Engineer
February 1, 2022 – March 1, 2023
India
MediTrack Patient Management System
June 1, 2024 – Present
Built end-to-end automation suite for critical patient data workflows – appointment booking, prescription management, and billing – ensuring zero data corruption across 3 integrated modules. Validated HIPAA-sensitive API endpoints using REST Assured, verifying correct access control and response integrity across 15+ GET/POST/PUT scenarios. Executed regression and smoke test suites before every sprint release, achieving 100% pass rate on critical-path test cases across 4 consecutive releases.
Drone Designer Application
April 1, 2023 – January 1, 2024
Designed and executed 120+ test cases for a graphics-intensive media design application used to create on-screen visuals for live news broadcasts and sports matches, covering rendering accuracy, layout precision, and real-time update validation. Developed Selenium-based automation scripts for repetitive UI validation workflows – reducing manual regression effort by 30% and freeing team capacity for exploratory testing. Caught 18 critical UI rendering defects pre-UAT by creating requirement-traceable test scenarios – preventing faulty graphics from going live on broadcast, protecting the client’s on-air reputation. Validated backend data integrity for graphics template and asset modules using SQL queries (joins, CRUD), ensuring accurate data mapping across relational tables before each release build. Reduced regression turnaround by 25% by standardising test documentation in Jira, enabling the dev team to self-service defect reproduction without QA hand-holding.
Insurance Management Platform
February 1, 2022 – March 1, 2023
Developed scalable automation scripts using Selenium WebDriver and Java for end-to-end insurance workflows – policy creation, claims processing, and premium calculation – replacing 50+ manual test cases blocking weekly builds. Enhanced Hybrid Framework by implementing reusable utility components (custom wait handlers, data readers, reporting hooks), reducing new script development time by 40%. Performed API testing using REST Assured and Postman across 20+ endpoints, validating request/response schemas, error handling, and data contract integrity. Designed Jenkins pipelines for automated build and test execution, enabling nightly regression runs and giving the team release-readiness reports every morning. Reduced defect leakage to production by 25% through improved automation coverage – ensured complete regression coverage in every sprint release cycle with zero high-severity escapes. Conducted data validation using PL/SQL queries across insurance policy and claims tables, verifying data consistency across 6+ relational tables per release.
Cultural Fit Analysis
The candidate has worked across diverse domains including healthcare, media graphics, and insurance, demonstrating adaptability to different project contexts. The experience with various tools and frameworks (Selenium, TestNG, REST Assured, Jenkins, Jira, SQL, PL/SQL) indicates a broad technical skill set relevant to a QA Automation Engineer role. The consistent focus on improving efficiency and reducing defects aligns well with a performance-driven culture.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with developers, standardizing test documentation, and reducing manual effort, indicating good team collaboration and operational efficiency. The focus on impact (e.g., 'reducing manual regression effort by 30%', 'reducing new script development time by 40%') suggests a results-oriented approach. The use of AI tools like ChatGPT and Google Gemini also points to an openness to leveraging new technologies for productivity.