Help & Supportcareers@gravityer.com
QA Automation Engineer with 4+ years in automation and manual testing for SaaS and AI-driven platfor
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Engineer with 4.7 years of experience in manual and automation testing for SaaS and AI-driven platforms. Strong individual contributor with hands-on ownership of multiple core product functionalities, covering end-to-end testing, automation, API validation, and production support. Skilled in Python, Selenium, SQL, ETL/data validation, and Agile delivery, with a proven ability to ensure product quality in fast-paced release environments.
Prof. Ram Meghe Institute
Master of Computer Application
August 1, 2021 – June 30, 2021
Shree Shivaji Science College
Bachelor of Computer Application
August 1, 2019 – June 30, 2019
Jeeva.ai
QA Engineer
November 11, 2024 – November 14, 2025
India
ZS Associates, Pune
QA Engineer
April 1, 2021 – October 31, 2024
Pune, Maharashtra, India
Sympliant (Healthcare)
June 11, 2026 – Present
Automated compliance validation for hospital equipment tracking systems to ensure regulatory accuracy and data reliability. Performed ETL and backend data validation across multiple reporting layers to ensure data integrity and consistency.
West River Academy (Education)
June 11, 2026 – Present
Performed functional and integration testing for a global e-learning platform supporting diverse user workflows. Optimized Selenium automation scripts to improve execution efficiency and overall test reliability.
NEBMedical (Healthcare)
June 11, 2026 – Present
Designed and implemented a data-driven automation framework to improve test scalability and ease of maintenance. Executed automated regression testing to ensure application stability across frequent releases.
Certified ISTQB Foundation Level
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience spans healthcare and education sectors, showing diversity. Their roles consistently involve collaboration and independent ownership, suggesting a proactive and team-oriented approach. The breadth of skills and experience in different product types (SaaS, AI-driven platforms) indicates adaptability and a willingness to tackle varied challenges, which aligns well with a dynamic work culture.
Soft Skills & Operational Fit
The candidate demonstrates strong ownership, collaboration skills with cross-functional teams (Product Managers, Developers), and adaptability to fast weekly deployment cycles using risk-based regression strategies. Their experience in Agile environments and proactive issue identification indicates a good operational fit.