• Identified organizational needs and established the strategic direction for vehicle fleet tooling.

• Led the development of a lightweight and configurable process orchestrator to streamline test fleet and customer deployments.

• Built real-time ROS monitoring suite for test engineers and ML developers to validate components on vehicle.

• Forked Foxglove studio and extended functionality, adding S3 authentication, improved layout management, and support for internal custom data types

• Collaborated cross-functionally with teams to gather requirements and incorporate user feedback.

• Built and maintained data pipelines for ingesting, processing, and exporting data for ML training and testing

• Incorporated features into ETL pipeline such as generating video previews and dynamically tagging drives by domain using GPS and OSRM

• Created a versatile data conversion tool that converts various data types between various data formats such as ROSBAGS, PCAPs, CSVs, MP4s, JPEGs, and proprietary in-house formats, with added functionality of data transforms like time syncing and trimming.

• Maintained data discovery tool for searching and querying ROSBAGS in server.

• Built Data Lake API using Python and FastAPI for AI engineers to easily query and download data