Redesign our current BigQuery-based job orchestration system (jobs table with lease/complete state transitions, driven by frequent small DML updates) into a Pub/Sub-based work-queue architecture
Rework existing Terraform-managed infrastructure to provision Pub/Sub topics, subscriptions, IAM, and dead-letter handling
Update local worker client code (Python and MATLAB) to consume from Pub/Sub instead of polling BigQuery
Design for idempotency and safe handling of redelivery/ack-deadline edge cases given long-running FEA jobs
Address MATLAB's lack of native Pub/Sub SDK support (e.g., via REST/gRPC integration)

Vertex AI Migration (AI Training Pipeline)

Migrate an existing containerized Python training pipeline from Cloud Run Jobs to Vertex AI (Custom Training Jobs) to resolve compute scaling limitations
Set up Vertex AI infrastructure and Cloud Build CI/CD pipelines for containerized training jobs
Port existing training codebase with minimal disruption, resolving workplace/resource-spec differences between Cloud Run and Vertex AI

📌 Embedded System Engineer (Chennai)
🏢 ALTEN India
📍 Chennai