---
title: "NAMMI TANUSHA - Packaged App Development in Vishakhapatnam | Tal"
description: "Meet NAMMI TANUSHA, Immediate joiner|Salesforce QA Automation Engineer | Agentforce AI Testing | Copado Robotic Testing | Salesforce Functional & Automation Testing based in Vishakhapatnam. AI stack includes antigravity, claude code, and claude."
image: "https://tal.club/meet/nammi-tanusha/share-image"
---

# NAMMI TANUSHA on Tal

## Headline

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

[View the original profile](https://tal.club/meet/nammi-tanusha)

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