Worked primarily as a Backend engineer learning a myraid of new things and worked in many areas of the app, with an absolutely wonderful team!Some areas I worked on:- All things PostgreSQL, I wrote lots of queries and really honed my SQL expertise here. Our Node API is really a middleware layer to our DB and so most of the data shaping was done directly within the queries.- Infrastructure, I set up our initial CI/CD pipeline and added some internal scripts throughout the time here to improve the pipeline and dev experience. I also set up a few CRON jobs to service some of our other services and internal tooling.- Data migrations/refactors, I worked on a number of projects where old data was migrated into new tables to support the needs of new features, or to refactor how old features interacted with the data.- API, I did a lot of work on our API methods, most of them just communicating with our DB but some providing a more sophisticated middleware between the two.

Allows a user to not only shorten a link but help the LGTBQ+ community while doing so.Tech Stack: ReactJS/Styled-Componetns/MongoDB/AWS EC2/Docker.Deployed the application using amazon AWS EC2 with Docker containers. Supported horizontal scaling through AWS Elastic Load Balancer.Implemented a RESTful API to shorten a URL and store the reference point in MongoDB. Allows a user to quickly shorten a link with ease. They can copy/share the link using buttons for a better UX.Designed a Redirect component that can display native ads as well as redirect a user to the URL after a timer.Choose best practices when it came to security. HTTPS + Secured user authentication and management as well as fully validated user creation.Using a local-storage tool, the application caches the last 5 recently shortened links and presents them to the user.Stores all of a users shortened links if they are logged in, as well as tracks the amount of clicks. These can be viewed in their dashboard, and can handle any input size with a dynamic page based system.

Working on developing a fullstack application using Riot Games API and custom tooling I have developed to analyze a players data and give them meaningful tips to improve their play. While maintaining clean RESTful apis and a readable codebase.

Worked on the back end for a reviews service on a restaurant application. Designed a efficient graph based schema using ArangoDB after benchmarking against PostgreSQL with a data set of roughly 60million records. Containerized code using Docker for easy scalability. Implemented horizontal scaling using Nginx and AWS EC2 servers to reach a throughput of 1700rq/s over 4 tc2.micro instances.

Developed a React Calendar Component for a listing application, allows a user to dynamically book dates, choose how many guests are staying at a location, and calculates the total price dependent on many factors such as nightly price, taxs, and service fees.