Aptiv is a global technology company primarily focused on developing advanced mobility solutions, specializing in autonomous driving, connected vehicle technologies, and smart mobility services.Primary Responsibilities: Engaged in Jenkins automation using Groovy, Python scripting for build processes, software testing, verification, and utilization of tools such as CloudBees and JFrog, while managing version control through Git and Gerrit.Key Achievements:• Spearheaded the documentation of a previously undocumented build procedure for a critical project, enhancing project clarity and facilitating knowledge transfer, resulting in increased efficiency and reduced onboarding time for new team members.• Automated data manipulation tasks using python scripts, resulting in a 30% reduction in overall build process.• Implemented Jenkins pipeline improvements using Groovy scripts, resulting in a 10% reduction in build times and resource utilization, optimizing the development workflow for the team.• Manage CloudBees and JFrog for streamlined CI/CD processes, leading to a increase in deployment efficiency and enhancing the reliability of artifact management within the development lifecycle.

Contributed to pioneering research focusing on the Design of Smart Traffic Signals for Autonomous Transportation and Connected Communities in Smart Cities.Primary Responsibilities: Actively engaged in defining design requirements, conducting technology assessments, designing integrated smart traffic systems, and contributing in the software development of the project.Key Achievements: • Collaborated in defining comprehensive design requirements and challenges for smart traffic signals, laying the groundwork for subsequent phases of the project, ensuring alignment with project objectives.• Contributed to the development of an integrated monitoring system that processed and analyzed data, leading to a 30% enhancement in the accuracy of traffic predictions, subsequently improving system decision-making capabilities.• Led the conceptualization and execution of simulations, resulting in a 15% improvement in traffic flow efficiency within the smart traffic system, validated through extensive modeling and simulation processes.• Implemented a data-driven approach resulting in a 25% reduction in response time for smart traffic signal adjustments, enhancing adaptability to changing traffic patterns and ensuring real-time responsiveness.

Toyota, a global automotive manufacturer, is renowned for its commitment to innovation and excellence in the automotive industry.Primary Responsibilities: Developed software solutions to automate processes across various departments including Project Management, QA, and Parts Ordering.Key Achievements• Automated data manipulation tasks by utilizing Python scripts, significantly improving efficiency in modifying Excel files, conducting database queries with SQL, and cross-referencing parts needed for orders, resulting in a 50% reduction in manual effort and significant error reduction.• Worked on the development of a user-friendly mobile application for the parts ordering team, allowing real-time inventory management, receipt tracking, and database updates, leading to a 30% efficiency increase compared to manual inventory tracking methods.• Collaborated with cross-functional teams to streamline processes for parts arrival verification, integrating automated data comparison methods that reduced human error and increased accuracy in matching expected versus received parts, ultimately improving operational efficiency by 30%.• Developed Bash scripts to automate routine tasks across departments, significantly reducing manual intervention in daily operations by 40%, ranging from log analysis to file processing.