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QA Automation Engineer with 6+ years in Automation Testing
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Assessing your cultural and operational fit
QA Automation Engineer with 5+ years in web and API testing. Skilled in Selenium, Java, and TestNG, building scalable frameworks. Experienced in API testing, CI/CD, and Agile environments. Focused on AI-driven QA, including LLM-based test generation, with a strong problem-solving mindset and commitment to high-quality SaaS releases.
savitribai phule pune university
Bachelor of Engineering · Mechanical Engineering
January 1, 2013 – January 1, 2017
XENNEO Tech Private Limited
QA Engineer (Manual & Automation)
December 1, 2019 – Present
Pune, Maharashtra, India
LLM Based TEST CASE GENERATOR and Manual Engine
March 1, 2026 – June 30, 2026
Built an AI-powered tool using a local LLM to generate structured QA test cases from requirements. Automatically produces positive, negative, and edge test scenarios. Exports test cases into Excel-ready QA templates.
Artist Booking Platform (NXTGIG)
December 1, 2024 – June 30, 2026
Built Selenium (Java, TestNG) frameworks boosting regression 60%; automated booking flows; performed API testing, debugging, and end-to-end validation of critical workflows.
Review Reply Agent [LLM and AI]
December 1, 2024 – June 30, 2026
Built an AI-powered review reply agent that generates personalized, brand-aligned responses using LLMs, improving response consistency, customer engagement, and turnaround time for online reviews.
Ride-Booking App (Trrvlo)
December 1, 2022 – June 30, 2026
Tested booking and payment workflows; built Selenium Java automation to speed cycles; performed UAT, regression, and functional testing to ensure quality releases.
Online Cookie-Selling Platform (Classic Cookie)
December 1, 2019 – June 30, 2026
Improved product quality by executing 100+ manual test cases for cart and checkout flows, identifying 30% more defects through usability testing, and ensuring 95% defect resolution via effective tracking and verification.
Cultural Fit Analysis
The candidate's project diversity, ranging from ride-sharing and e-commerce to communication/gig economy platforms, indicates adaptability. Their proactive engagement in personal projects involving LLMs for test case generation and review replies shows a strong interest in innovation and continuous learning, which aligns well with a dynamic, forward-thinking culture. The blend of manual and automation experience, coupled with framework design, suggests a comprehensive approach to quality assurance.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through defect resolution and root cause analysis. Their experience in leading PR reviews, defining branching strategies, and mentoring junior QAs indicates leadership and teamwork capabilities. The ability to manage defect lifecycles in JIRA and coordinate UAT suggests good organizational and collaboration skills. The English test score of 72 indicates adequate communication clarity for professional settings.