Contains code and slides for our talk at Cloud Next 2022: Better Hardware Provisioning for ML Experiments on GCP.

A tutorial to deploy and use AI Runtime Security on Google Cloud.

Harness RAG CI/CD Pipeline - A Terraform implementation for deploying and managing a Retrieval-Augmented Generation (RAG) pipeline using Harness CI/CD platform and Google Cloud services (Cloud Run, Vertex AI).

A Vertex AI Search for Media demo project, exporting data from The Movie Database API, ingesting that data into BigQuery ready for Dataform to transform the data for import into Vertex AI Search for Media.

Use Bigquery Machine Learning (BQML) to apply advertising techniques

🌐 Deploy comprehensive data discovery systems on Google Cloud Platform with this production-ready Terraform infrastructure template.

Production-ready Terraform infrastructure for data discovery systems on Google Cloud Platform

Sample project using Vertex AI in a cloud run container to perform AI helper tasks using Atlassian products (JIRA/Confluence)

Enterprise-grade Multi-Cloud Architecture Portfolio featuring AWS, Azure, and GCP. Includes end-to-end data engineering pipelines, data lake & warehouse design, ML platform (Vertex AI), Terraform IaC, security architecture, and full operations documentation. Built as a real-world case study for cloud architect roles.

GenAI data pipeline that performs data preparation, management and performance evaluation tasks for RAG systems using SQL as the primary development language. Please feel free to use this as a starting point for your own projects.