At Quantiphi Analytics Solutions, I design and implement secure, scalable GCP Landing Zones with Terraform, enterprise IAM, and networking. I also build GitHub Actions pipelines with automated promotion, validation, rollback, and multi-environment Google Cloud Functions deployments.
I've provisioned GCP and Azure infrastructure for AI/ML workloads, automating model training and deployment through Vertex AI and Azure Databricks. Previously at Quara Digital, I delivered AI workload CI/CD using GitLab and GKE and implemented observability with Loki, Grafana, Prometheus, and Helm.
At Infilect, I helped reduce cloud spend by 50% with Spot VM-based infrastructure and modernized networking to cut costs by 70% while removing single points of failure. Across GCP, AWS, and Azure, I use Terraform, Ansible, Kubernetes, and automation to build scalable, secure cloud environments.
