Hello, my name is Ryan Knightly
This is my software portfolio.

I led a Rice-Apps team to develop a recipe-searching app for the houston food bank.

​We used React and Node to allow searching/printing recipes by ingredients with support for multiple languages.

I worked on a team at Rice to develop a web app that reports how crowded the three different cafes at Rice are.

​We used React and Flask, and collaborated with Rice IT to get data from the wireless access points in the cafes.

I worked on a team at RiceApps to develop a mobile app to bring awareness to the public art at Rice.

​We used React Native and Expo to develop the app, and I focused on the Node Express backend and connected it to a content management system. I also created the map to display the art.

I worked with a team at the Rice Data Science club to extract meaning from a large dataset about the futures market (70,000 data points with 192 features each).

I focused on comparing the behavior of different market players within different commodity classes. We particularly focused on the impact of the 2008 recession on the different futures markets.

I developed the software end of the iOS and Android application "investorPrep."

The app teaches about investing and has over 18,000 downloads.

I have independently written and published 14 different iOS applications as part of Knighted Games.

I used both Xcode/Swift and Unity/C# for development. My games together have more than 100,000 downloads.

I developed a cell detection script that automatically detects the location of cells in microscope slides.

I used various filtering and processing techniques to reduce the noise in the image and used a flood-fill algorithm to generate a list of distinct cells.

I performed experiments using Python and Keras regarding training sample size and the performance of classification deep neural networks. I specifically used the MNIST dataset of handwritten digits.

I used the results of these experiments in writing a paper about the importance of Big Data in the age of Machine Learning.

I created a stock market index called "The Market Index.

It consists of about 3,000 stocks, sorted according to algorithmically decided ratings. I designed the algorithm to simplify stock picking, and to test different ranking strategies.

I developed the AirSafe iOS application, which is part of a collaborative project involving Rice University and Technology For All.

​AirSafe brings live air quality data to Houston residents who need it the most.

Solar simulator is a 3-D solar system visualization that I created using Processing. It is only one of several sketches using P5 and Processing, several of which were inspired by Daniel Shiffman's sketches.

This visualization is designed for aesthetics, so while it is not entirely accurate astronomically, it does provide a beautiful 3-D view of the sun and the planets orbiting around it. There are also stars in the background, though they are hard to see in the screenshot.

PrimeDice Simulator is one of my first Python projects. The program tests different settings for a Bitcoin gambling site called PrimeDice.

​The simulator runs millions of games using particular settings to produce a result graph like the one shown here.