- Experience in developing customized frameworks for data pipelines using Google Cloud Platform (GCP), Dataflow, and Apache Beam.
- Delivered multiple AI-based solutions on the GCP platform.
- Implemented DevOps/MLOps practices for automation and monitoring across the entire data and machine learning lifecycle.
- Developed MIG implementation for Reconciliation Dashboard solutions.
- Built Dataflow Flex Template Frameworks and domain-specific Python libraries.
- Designed and implemented Kubeflow Pipelines with automated pipeline creation and deployment.
- Applied DevOps methodologies to machine learning systems.
- Enabled continuous deployment of Django applications on GCP.
- Automated deployment and management of Cloud Run services.
- Implemented Secret Manager and Cloud KMS with deterministic encryption.




- Experienced in automated Cloud Build implementations.
- Performed BigQuery data extraction, pre-processing, and automated job scheduling.
- Managed model lifecycle and maintenance using GCP Model Registry.
- Developed microservices using REST APIs.
- Built customized web applications for AI Platform resource provisioning and management.
- Implemented automated CI/CD pipelines for GCP Cloud Functions.
- Deployed and managed dashboards using R Shiny and Python Django.
- Optimized application code and technical deliverables to improve performance and efficiency.

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📌 GCP Engineering Consultant (City of Sydney)
🏢 CareCone Group
📍 City of Sydney