•Developed key software components for an autonomous rover, focusing on navigation and control algorithms to improve the rover's path-planning capabilities.•Collaborated with the team to integrate sensor data (LIDAR, GPS, IMU) into real-time decision-making processes, enhancing the rover's ability to navigate complex environments.•Optimized the rover’s communication protocols, ensuring seamless data exchange between onboard systems and the control station.•Contributed to the development of a robust simulation environment for testing rover functionalities, reducing field testing time by 20%.

• Engineered and executed cron jobs in Python to automate routine data processing tasks, handling 1,000s of data to enhance operational efficiency and reliability• Acquired experience in ETL processes and SQL, withing Amazon Redshift’s PostgreSQL-based framework. Orchestrated data workflows by incorporating Apache Airflow

• Analyzed CI/CD build pipeline to expose regression-related variations between local and cloud deployments• Created and maintained several automated Jest and Jasmine testing suites to achieve 99% code coverage• Led team-wide knowledge transfer sessions, reducing development time for several workflows by up to 95%• Verified proposed changes with remote Jenkins, local Node.js, and Kubernetes cloud environments• Converted core module to use asynchronous logic, resulting in a 2% reduction of system-side loading times