Headline

Immediate joiner|Salesforce QA Automation Engineer | Agentforce AI Testing | Copado Robotic Testing | Salesforce Functional & Automation Testing

About

I am a Salesforce QA Automation Engineer with 3+ years of experience in Salesforce Functional Testing,, Agentforce Testing, and Copado Robotic Testing. I specialize in designing and executing functional, regression, integration, and end-to-end testing to ensure reliable and high-quality Salesforce solutions. My technical expertise includes: • Agentforce AI Agent Testing and conversational validation • Copado Robotic Testing and regression automation • Salesforce Sales Cloud, Service Cloud, and platform configurations • API Testing using Postman, REST, and SOAP APIs • SOQL, data validation, and role-based access control testing • GitHub Actions, CI/CD, and Agile methodologies I enjoy building scalable test automation frameworks, identifying defects, validating AI agent behavior, and collaborating with development teams to improve software quality. I am passionate about continuous learning and exploring AI-driven testing solutions to deliver efficient and reliable enterprise applications. Open to opportunities in Salesforce QA Automation, Agentforce Testing, and AI Quality Engineering.

Location

Vishakhapatnam

AI stack

antigravity

claude code

claude

github copilot

mcp

metaai

Work experience

Packaged App Development at Accenture in India, Aug 2023 - Present · 3 yrs 4 mos, Hyderabad, Telangana, India, Agentforce Testing & AI Agent Validation • Designed and executed comprehensive Agentforce test scenarios covering agent behaviour, multi-turn conversations, action execution, and response quality validation • Validated agent behaviour across authorized, restricted, unauthorized, and ambiguous user request scenarios; performed guardrail testing and hallucination detection • Tested response accuracy, grounding, and consistency; validated context retention across multi-turn conversations and proper fallback handling for out-of-scope queries • Collaborated with development teams on AI model improvements, prompt refinement, and guardrail adjustments; identified and resolved 40+ agent behaviour issues before production release

Education

Information Technology, JNTU Gurajada Vizianagaram