A collection of works in cloud-native engineering, demonstrating core competencies in Python backends, scalable infrastructure, database management, and GitOps pipelines.
An event-driven logistics system deployed via Infrastructure as Code (IaC) on Google Kubernetes Engine. With three-portal ecosystem designed to connect farmers and fleet. Developed with a deploy script to provision Terraform, seed the database, and deploy to GKE clusters.
A cloud-native store locator with discovery features showing the five nearest stores on the map from the user's selected starting point. Integrated Google Maps Platform APIs and deployed via Docker, gcloud CLI, and Terraform modules.
A learning project exploring SQL, data warehousing, and project management. Driven by a curiosity to understand how businesses transform raw data into structured systems for business insights and analytics.
A streamlined API for sand and gravel operations, designed to manage orders, track inventory, and monitor status. Features a containerized PostgreSQL via Docker, managed through an IDE database client. Serves as a personal capstone following the Learn to Cloud curriculum.
A serverless portfolio demonstrating technical growth and persistence as a self-taught engineer. Built with a Python/FastAPI backend and Google Labs' Stitch frontend, utilizing GitHub Actions for CI/CD to Cloud Run and hosting static assets in Cloud Storage.