Redwood City, California, United States
• Spearheaded an organization-wide ROS migration.
• Communicated, collaborated, and worked with multiple teams to drive the project phase to completion.
• Documented and reported progress updates and findings to stakeholders throughout the migration.
• Triaged and investigated ROS/memory issues.
• Conducted manual testing and QA of the robot prior to deployment.
• Independently designed and implemented a scalable data and machine learning pipeline utilizing Airflow and Kubernetes, enabling more efficient batch processing and supporting various complex workflows with the capacity to execute hundreds to thousands of jobs in parallel. Replaced a single VM solution, resulting in >80x speed up in data preprocessing for an image localization model job.
• Took ownership over the robot data collection stack and made improvements to existing ROS nodes.
• Redesigned, refactored, and generalized ROS node to handle model installations of all types.
• Conducted benchmarking and testing of ROS nodes responsible for uploading data to the cloud under different Wi-Fi scenarios.
• Mentored interns/peers on various teams.
