Operationalize a Machine Learning Microservice API

I'm a full stack engineer with experience creating complex, responsive, server-side, data-driven web applications that support any front-end and can scale to support hundreds of thousands of users.

A web application server—built from a baseline Linux installation—secured against a number of attack vectors and configured to serve the Item Catalog project.

A single-page, responsive map application that allows users to view and filter a list of neighborhood food & dessert establishments—that once selected will display additional information.

A responsive web application—providing user registration and authentication—that allows users to browse—as well as create, modify, and cancel—events by activity.

Cloud DevOps Nanodegree Capstone Project - Implemented a CI/CD Pipeline to Roll Out Containerized Microservices Using Rolling Deployment

hello demo repo

Create and run an instance on AWS, configure Jenkins, and create a pipeline to deploy a static website on S3.

Jenkins CI/CD

Deployment for a High-Availability Web Application using CloudFormation

An internal command line reporting tool that connects to and queries an online news site's database to determine user trends and site statistics based on user activity and web server logs.

Simpy python scripts for simple tasks.

A cross-device compatible portfolio website—displaying images, descriptions, and links to projects completed throughout the course of the Udacity Nanodegree—that adheres to responsive web design.

Server-side code that dynamically generates a movie trailer website—where users can view your favorite movies and watch their trailers—from a Python data structure and movie list file.

Udacity Full Stack Web Developer Nanodegree Projects