• One of two founding members of the Data Management/ML Integration team. The team is responsible for systems for capturing, uploading, storing, and querying sensor/IoT data, and for pipelines for training machine learning models on image data. Worked primarily in Go.

• Led the design and implementation of an on-robot system for recording sensor data in a highly performant, concurrent, and fault tolerant way. Written in Go.

• Led design and implementation of system for efficiently uploading sensor data from robots to our cloud services, and to query uploaded data. Used Go, GCS, MongoDB, and gRPC.

• Developed a managed service for training machine learning models on image data. Used gRPC, MongoDB, GCP/Vertex AI, and Go-based pipeline orchestration.

• Developed an iOS application in Swift for live export of sensor data from iPhones to a central robot control system.

• Mentored new grads and interns through weekly 1:1s, project guidance, and technical reviews.

• Worked on Pixel Serving API team, responsible for low-latency identifier translation APIs serving over hundreds of thousands of RPS with >99.9% availability and producing billions of events daily. Worked primarily in Go.

• Led team of engineers in the full-cycle development and validation of a new API for a major external partnership. Written in Go, deployed on GKE/GCP, monitored with OpenCensus/DataDog.

• Led DevOps effort to redesign application infrastructure, resulting in infrastructure cost savings of over 30% per year, enhanced high-volume reliability, and reduced operational effort.

• Scrum master of the team beginning January 2021, leading all engineering meetings, working with our PM to prioritize projects, and serving as a point person for external stakeholders.

• Worked on the Data Ingestion team, responsible for ingestion, parsing, and anonymization of 10s of TBs and billions of records per day supporting a variety of data sources including S3, GCS, SFTP, and external APIs. Worked primarily in Java.

• Migrated team’s services from co-located Linux servers to Docker/Kubernetes deployments on Terraform provisioned GCP infrastructure.

• Created tooling for creation of ephemeral development environments adopted by 5+ teams. Wrote Terraform modules to automatically provision cloud infrastructure and a Jenkins CI/CD pipeline with automated multi-stage deploys and functional testing. Used Jenkins, Docker/Dockerfiles, Kubernetes, GCP.