Help & Supportcareers@gravityer.com
QA Automation Engineer with 6+ years in AI & Automation Testing
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 6+ years of experience in manual, automation, and AI-focused testing across web, mobile, and conversational AI systems. Skilled in LLM chatbot, voice bot evaluation, prompt testing, and CU-domain workflows. Proficient in Playwright (JavaScript), Selenium, and API automation. Experienced in leading QA efforts, building GPT-based tools, and improving QA processes for reliable AI and product delivery.
Chitkara University
B.Tech · ECE
May 1, 2011 – May 1, 2015
Jawahar Navodaya Vidyalaya
12th
April 1, 2010 – February 1, 2011
Interface.ai
QA ENGINEER III
April 1, 2023 – Present
India
Skuad india pvt. ltd
SDET
June 1, 2022 – April 1, 2023
Chandigarh, Chandigarh, India
TestingXperts india pvt. ltd
Test Engineer
May 1, 2021 – June 1, 2022
India
Apptunix
Quality Analyst Engineer
June 1, 2020 – May 1, 2021
Mohali, Punjab, India
Zenius, Learning Application
May 1, 2021 – December 31, 2021
Handled different modules, Testing of Android, IOS, Website
Salesforce
September 1, 2020 – October 1, 2020
Worked with various salesforce.com domain objects like accounts, leads, reports and dashboards, SFDC domain
Gratico, A social Application
June 1, 2020 – December 1, 2020
Testing of Android and IOS applications with Admin panel
Cultural Fit Analysis
The candidate's diverse project experience across different domains (social applications, learning platforms, financial services, HR tech) indicates adaptability and a broad understanding of various business contexts. Their current role involves AI testing, which aligns with modern technological trends and suggests a forward-thinking approach. The mention of leading a small QA team and improving processes shows initiative and a collaborative spirit, contributing positively to cultural fit. The continuous learning interest further enhances their fit for dynamic environments.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, working closely with developers for defect resolution. Their experience in leading a small QA team and improving processes indicates leadership potential and a proactive approach to operational efficiency. The interest in experimenting with AI tools and continuous learning suggests adaptability and a growth mindset, which are valuable for cultural and operational fit.