Project Overview
This project demonstrates how to deliver a production-ready LLM-powered application as a REST API, enabling organizations to integrate state-of-the-art NLP into business products. The stack leverages FastAPI for efficient serving, GCP Cloud Run & Functions for scalable deployment, and end-to-end DevOps best practices for reproducibility and governance.
Key Outcomes
- Rapid prototyping to production: Reduced time to deploy new LLM features from weeks to hours.
- Cost optimization: Leveraged serverless and managed compute for elastic scaling, minimizing idle costs.
- Robust security: Incorporated IAM and environment-based secret management to protect data and models.
What I Did
- Led the design, implementation, and cloud automation of the app infrastructure.
- Integrated monitoring, observability, and automated rollback for reliability.
- Authored user/developer guides for internal adoption of the deployment pattern.
Additional Resources