Full‑Stack Developer · CVS Health
Developed integration-ready backend APIs and data pipelines on Azure, powering analytics workflows with containerized deployments and CI/CD automation.
Key Achievements
- Implemented LLM-powered summarization and insight generation, exposing inference through versioned REST APIs.
- Built scalable ingestion + transformation pipelines using Azure SQL and Cosmos DB for analytics-ready datasets.
- Containerized services with Docker and deployed to Kubernetes for scalability, repeatable releases, and high availability.
- Automated build/test/deploy with GitHub Actions and Terraform to improve release consistency and reduce manual effort.
- Improved service reliability via API validation, integration testing, and root-cause debugging using logs and monitoring tools.
🧩 Tech Stack & Architecture
Architecture
- Frontend: React dashboards for operational analytics and internal workflows.
- Backend: Django REST microservices for orchestration, inference endpoints, and data services.
- Cloud: Azure Functions, Logic Apps, and CI/CD via GitHub Actions for distributed, fault-tolerant deployment.