A layered iOS/Android app for browsing and sorting favorite foods

A single page iOS/Android app for tracking personal finances

This is an iOS app that uses real-time user input at locations in order to provide users with an insight to potential places to go for night time activities.

I created a custom algorithm that worked with the front and back-end in order to match users by shared humor types.

I worked to ensure that the selected movies were properly stored in the database and made available when users wanted to view their watchlist of favorited movies.

I was responsible for developingvarious machine learning algorithms designed to predict capital markets using advanced pattern recognition, genetic algorithms, and counter overfitting simulation methods. I also tested data fidelity of large datasets and used data preparation methods in order to process data for model discovery.

I worked to develop a commercial web application for Apex Investing Institute that interfaced directly with the API of the North American Derivates Exchange which allowed for over 20,000 users to submit millions of orders directly through our platform. We developed the application in React, moving from some legacy jQuery code. The most difficult challenge was implementing the websockets that were responsible for live data being rendered to users and instantaneous execution of orders through the API. I worked on this project for 2 years and I am happy to say it is still in use today.

Platform software rendering real-time order book analysis

Platform software rendering real-time volume data analysis