• Spearheaded the development and maintenance of a powerful Jenkins shared library, leveraging cutting-edge techniques to streamline declarative pipeline code and eradicate redundancy across 17 repositories

• Revolutionized codebase with scalable modularization strategy for testing calibrated 5G chips, achieving 80% surge in reusability and scalability

• Engineered a precise data verification process, seamlessly converting hexadecimal data to binary, applying a cyclic redundancy check, and storing it in a CSV file for flawless data transfer

• Leveraged data verification process to calibrate 5G chip settings, achieving 0% human error and enhancing accuracy and efficiency

• Worked on developing and interfacing with static / dynamic libraries for various embedded systems

• Used Kubernetes to orchestrate deployment and management of various docker containers to test repeater calibrations

• Engineered robust scripts to automate data cleanup and verification, achieving an astounding 99% reduction in error margin and significantly enhancing integration data accuracy through seamless automation

• Collaborated with cross-functional teams by utilizing data science libraries, such as pandas, numpy, and scikit-learn, for data analysis and modeling to design and implement scalable and fault-tolerant features.

• Spearheaded automation projects using UIPath, successfully reducing integration time by 70% through the automation of technology (2G/3G/4G) integration with base station networks

• Empowered real-time monitoring and delivered precise measurement of automation bot efficiency by developing dynamic and interactive analytical dashboards in React.js and leveraging Tableau for graphical visualizations

• Implemented an automated deployment pipeline of banking applications to test servers using

Jenkins

• Streamlined the testing process, reducing the deployment time by approximately 30%, and

improving overall team productivity

• Collaborated closely with the release teams to design and implement robust integration pipelines

using Shell scripting. My contributions played a pivotal role in ensuring the smooth delivery of critical

production releases, with a 99.5% successful deployment rate

• Leveraged Docker to virtualize servers for both testing and development environments, enhancing

the scalability and reliability of the infrastructure

• Configured automation using Docker containers, reducing configuration errors by 50% and improving

the stability of the application environments