EXPERIENCE

Organization: National Institute of Technology, Warangal

Role: Software Testing Internship

Timeline: December 2024 - February 2025

Description:

Led software testing and automation with Selenium WebDriver with respect to ensuring the quality of applications and effectiveness. Automated web testing using Selenium IDE, WebDriver, and Selenium Grid for effective Hub management of distributed test execution.

Tested the TrustInn Software Application developed by NIT Warangal scholars, providing detailed bug reports and suggestions for optimization. Streamlined data collection and reporting processes, reducing processing time by 20% and improving operational efficiency.

Collaborated with cross-functional teams to gather requirements, define project scopes, and ensure alignment with business objectives, driving successful project outcomes. Developed thorough reports and presentations summarizing the findings and insights that shaped major business decisions.

Organization: AolDev

Role: Machine Learning Intern

Timeline: December 2024 - Currently Working

Description:

Tested and optimized a web application built with React framework and integrated with machine learning algorithms for chatbot creation, ensuring seamless functionality and user experience.

Contributed to the development of a Baseball application, providing users with a live dashboard, team selection features, real- time reviews, highlights, chatbot suggestions, and a virtual dugout experience.

Developed and deployed a chatbot using the Gemini API, successfully training the model to enhance user interaction and provide intelligent recommendations.

Collaborated effectively using Git and GitHub, managing code changes through pull requests and ensuring version control and smooth integration across the development team

Conducted By: Jobaaj Learnings

Date: March 2024

Description: Hands-on workshop covering basics of Data Science and Analytics algorithms with real-world applications.

Platform: Coursera

Completed: January 2024

Description: Comprehensive course covering neural networks, CNNs, RNNs, and sequence models.