Highlights & Accomplishments

• Took a barebones MVP and developed production-grade Go microservices running in Kubernetes clusters for both cloud and on-site deployments, supporting rapidly growing self-driving vehicle monitoring systems.
• Led development of Kubernetes-integrated applications to dynamically create, monitor, and destroy pods running perception models for automated testing pipelines.
• Authored Kubernetes deployment manifests and application configuration for reproducible, environment-consistent deployments managed via Rancher.
• Integrated RabbitMQ for asynchronous workload distribution and MongoDB and Postgres for structured and unstructured data storage across services.
• Contributed to Python and TensorFlow-based tooling supporting perception model evaluation and validation workflows.