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Senior QA Enginneer with 3+ years in Salesforce CRM and AI-driven testing.
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Assessing your cultural and operational fit
Salesforce QA Engineer with 3 years of experience in manual and automated testing of AI-driven CRM solutions. Expert in validating complex hiring workflows (ATS), intelligent search & match (ASM), and third-party integrations (AIN). Proficient in Python-based automation (Playwright), API testing (Postman), and leveraging Gen-AI (Agentforce, Claude, Rovo) to optimize QA lifecycles in HR-Tech and BFSI domains.
K.K. WAGH INSTITUTE OF ENGINEERING, NASHIK
B.E. · Electronics and Telecommunication
August 1, 2018 – June 30, 2022
ASYMBL TECHNOLOGY
Salesforce QA Engineer
October 1, 2024 – Present
Jaipur, Rajasthan, India
CYNTEXA
Salesforce QA Engineer
June 1, 2024 – October 1, 2024
Jaipur, Rajasthan, India
PERSISTENT SYSTEMS PVT. LTD.
Software Engineer (Salesforce QA)
August 1, 2022 – February 1, 2024
Pune, Maharashtra, India
AI Associate
Salesforce
June 1, 2026 – Present
Copado Robotic Testing
Automation
June 1, 2026 – Present
Salesforce Associate
Salesforce
June 1, 2026 – Present
Functionize AI Testing Certification
Automation
June 1, 2026 – Present
Agentforce Certified
Salesforce
June 1, 2026 – Present
Provar Advanced
Automation
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different companies (ASYMBL, CYNTEXA, PERSISTENT SYSTEMS) and domains (HR-Tech, BFSI) indicates adaptability and a broad understanding of various business contexts. Their engagement with AI-driven testing tools and certifications suggests a forward-thinking approach, aligning with cultures that value innovation and continuous learning. The focus on Salesforce QA aligns well with roles requiring specialized domain knowledge. The diversity of projects, from ATS to payment processing, shows a willingness to tackle varied challenges.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in collaborative environments (MS Teams, Slack) and structured defect tracking (JIRA, TestRail). Their professional summary highlights expertise in optimizing QA lifecycles, indicating a proactive approach to process improvement. The use of AI tools for test case generation and defect analysis suggests an adaptive and innovative mindset. However, the resume does not explicitly detail soft skills like leadership, problem-solving, or conflict resolution beyond their technical contributions.