Designed and implemented ROS nodes and services supporting mission execution, degraded-state handling, and safety-critical workflows within the autonomy stack.

Led development of configuration verification and bring-up flows, including FSM states that validate vehicle configuration via external services and deterministically transition vehicles into safe or degraded states on failure.

Built and extended degraded-state and soft-stop infrastructure, enabling autonomous vehicles to surface actionable errors, trigger physical or logical assists, and safely block mission execution when required.

Developed event logging, bagging, and upload pipelines, including background worker systems that monitor on-vehicle data, persist processing state across reprograms, and reliably upload artifacts to AWS S3.

Implemented client-specific logging and filtering systems, enabling cloud and dashboard consumers to subscribe to targeted ROS logs without overloading vehicles or networks.

Contributed to cloud and edge integration, including AWS (S3, ECR), HTTP-based verification services, and Docker-based deployments on Buildroot systems.

Wrote extensive unit and integration tests (gtest, rostest) for mission states and safety logic, improving confidence in autonomy behaviors and regression coverage.

Improved system observability through structured logging, metrics, and tooling to debug real-world vehicle issues.

Worked within Bazel and CI/CD pipelines, supporting modular builds, container images, and reproducible deployments for simulation and production vehicles.

Collaborated closely with autonomy, infrastructure, and remote-assist teams to debug field issues and harden systems for real-world operations.