• Developed and automated data ingestion, feature extraction, and labeling pipelines, while optimizing model training and evaluation workflows in close collaboration with the Robotics and ML teams

• Admin of the Autonomy Team's AWS account; Developed and maintained Terraform modules to manage resource deployments for autonomy sub-teams

• Streamlined CI/CD processes by migrating on-premise TeamCity workflows to GitHub Actions, enhancing reliability, simplifying operations, and accelerating build times

• Coached junior software engineers and directly managed a summer intern on auto-labeling system improvements and labeling cost analysis from design to implementation

• As a founding member of the data platform team - spearheaded the development and scaling of the data storage layer, REST API, data ingestion pipeline, labeling service integrations, and dataset management services for various robotics and machine learning sub-teams

• Developed an integrated data warehouse solution using AWS S3, Glue and Athena to serve business analytics and ad-hoc query use cases

• Developed and maintained deployment of Kubeflow on AWS used by both the platform and project teams to orchestrate pipelines and run notebook servers for machine learning and business use cases

• Developed and maintained full-stack features and integrations with third-party services using Node.js, ExpressJS, AWS (ECS, RDS: MySQL), and AngularJS, HTML5, CSS3 while ensuring scalable and high-performing application functionality through comprehensive platform testing

• Developed internal tools, including a dashboard for monitoring, debugging, and retrying tasks in backend processes, significantly improving efficiency and streamlining customer onboarding

• Managed and resolved customer support requests, diagnosing and addressing technical issues related to backend services and infrastructure

• Developed, scaled, and maintained the data storage layer and backend services including a REST API and video transcoding service, and YouTube API integration for the video karaoke mobile app features

• Developed internal tools for engineering and product teams, including a video moderation tool, and content management interfaces for near-instant updates of dynamic content in the mobile app resulting in improved workflow efficiency and product control

• After acquisition, migrated infrastructure and backend services from GCP to AWS