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QA Automation Engineer with 5+ years in Manual, API, and AI product testing.
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Assessing your cultural and operational fit
Detail-oriented Manual QA Engineer with 5+ years of experience across web, mobile, API, and AI product testing. Core strengths in functional testing, REST API testing (Postman & Swagger), cross-browser testing (BrowserStack), WCAG accessibility testing, database verification, A/B testing, and payment flow validation (Stripe). Strong defect lifecycle management in JIRA and Azure DevOps. Additional hands-on exposure to test automation (Playwright + Python, Selenium + Java) as a complementary skill. Experienced in Agile/Scrum environments with a track record of reducing manual testing effort by 40%.
L.J. College of Engineering, Ahmedabad
M.E. · Information Technology
N/A – June 30, 2022
Alpha College of Engineering, Gandhinagar
B.E. · Information Technology
N/A – June 30, 2020
Milestone Internet Marketing Pvt. Ltd
Manual QA / AI QA Engineer
July 1, 2025 – March 1, 2026
Ahmedabad, Gujarat, India
Knovos India Pvt. Ltd
QA / Automation Engineer
January 1, 2025 – February 1, 2025
India
Parkar Digital Pvt. Ltd
Software Test Engineer – Level II
March 1, 2022 – September 1, 2024
India
iQlance Solutions Pvt. Ltd
QA Analyst
September 1, 2020 – March 1, 2022
India
REST API Testing - AI Platform (Milestone)
June 29, 2026 – Present
Manually tested OpenAI-powered REST APIs via Postman and Swagger - prompt inputs, response validation, auth token testing, error code verification, and edge case scenarios for production AI features.
Stripe Payment Flow Testing - Parkar Digital
June 29, 2026 – Present
End-to-end manual testing of payment flows: checkout initiation, card success/decline/invalid scenarios, webhook response validation, and transaction data integrity checks.
E-Commerce QA - Furniture Rental System
June 29, 2026 – Present
Comprehensive manual QA covering functional, regression, UAT, WCAG accessibility, cross-browser, and database verification across the full e-commerce journey.
Mobile App Testing - iQlance (7+ Apps)
June 29, 2026 – Present
Manual testing of 7+ native & hybrid Android/iOS apps using BrowserStack and real devices — functional, regression, usability, and cross-device testing with 200+ defects identified.
LLM & Chatbot Manual Testing - Milestone
June 29, 2026 – Present
Prompt validation, hallucination detection, A/B testing, and adversarial input testing on AI chatbot and search features using LangSmith golden datasets.
Database Verification - ETL & API-to-DB Testing
June 29, 2026 – Present
SQL-based ETL validation — data completeness checks, schema compliance, API-to-DB record verification, and ingestion failure simulation across multiple client projects.
Automation Exposure
June 29, 2026 – Present
While manual testing is my primary expertise, I have practical experience with automation frameworks used to complement manual QA efforts: • Playwright + Python + Pytest — POM architecture, AI Locator Healer, auto-wait; reduced flaky tests by 30% on AI platform project. • Selenium WebDriver + Java + TestNG — POM-based regression suite with 60+ test cases for e-commerce platform. • Apache JMeter — API load and stress testing with 1,000+ concurrent users; throughput and response time analysis. • Postman Collection Scripts — basic API automation for regression checks on REST endpoints.
Cultural Fit Analysis
The candidate has worked across multiple companies and projects, including AI platforms, e-commerce, and mobile applications, indicating adaptability to different domains. The blend of manual expertise with exposure to automation frameworks suggests a proactive learning attitude and alignment with evolving QA practices. The stated openness to relocation further enhances cultural fit flexibility.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration in Agile sprints and a track record of reducing manual testing effort, suggesting good team integration and efficiency focus. The detailed project descriptions indicate a methodical approach to testing and problem-solving. Experience with diverse testing types (functional, regression, UAT, accessibility, cross-browser) demonstrates adaptability and a comprehensive understanding of QA processes.