How do you take a generative AI idea and turn it into a cloud-native, scalable product? In this talk, I’ll walk through the full-stack journey of deploying a SaaS platform for generating marketing content—focusing on audio and video use cases.

As project lead, I oversaw a cross-functional team building an asynchronous, event-driven architecture capable of handling thousands of concurrent generation tasks. The system integrates FastAPI, React, and modern cloud services, leveraging Terraform, Docker, and AWS Fargate.

You’ll learn how we deployed custom generative models using tools like Replicate and WAN 2.1, and designed a modular backend pipeline to orchestrate the workflows—alongside real-time feedback for users.

This session will be especially useful for ML engineers and MLOps professionals looking to bridge the gap between model development and product deployment.