
Senior Software Test Engineer | Selenium | RestAssured | PostMan | Java | Playwright | SQL | Test Strategy & Planning | Manual & Automation Testing |
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Assessing your cultural and operational fit
ai-native-qa-automation
April 6, 2026 – Present
AI-powered multi-agent QA automation system that generates, validates, and optimizes test coverage across the test pyramid using Claude Code.
View Projectgenai-rag-chatbot
January 23, 2026 – Present
AI-powered customer support chatbot for Air India built using AWS Bedrock and Retrieval-Augmented Generation (RAG) to deliver accurate, real-time responses from airline knowledge bases.
View ProjectANN-Classification-Churn
November 5, 2025 – November 5, 2025
ANN-Classification-Churn — GitHub repository
View ProjectPython_Practice
August 17, 2025 – August 17, 2025
This repository contains solutions to python challenges using pandas and numpy
View ProjectLLMEvaluation
August 12, 2025 – August 18, 2025
This repository provides a testing and evaluation framework for Custom Large Language Models (LLMs) built on Retrieval-Augmented Generation (RAG) architecture.
View ProjectAPIAutomationFramework
March 25, 2025 – March 25, 2025
APIAutomationFramework — GitHub repository
View ProjectTest-Automation-Framework
March 6, 2025 – March 9, 2025
A robust automated regression testing framework built with Selenium WebDriver and Java, leveraging TestNG for test management and LambdaTest for cloud-based execution. Designed to support parallel execution for efficient and scalable testing.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse interest in AI/ML, test automation, and general programming. The focus on personal projects indicates self-motivation and a proactive learning approach. The projects align well with a data scientist role, particularly those involving AI, ML, and RAG, suggesting a good cultural fit for an innovative, data-driven environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.