MACHINE LEARNING

-->Neural Network from scratch (MLP model)


Multilayer Perceptron built from scratch tested on a flower dataset in Python.

-->Comparing Performance of SVM with MLP


Building and Comparing the machine learning models Support Vector Machine and Multilayer Perceptron on a Wisconsin Breast Cancer dataset

-->Spam SMS Filter


A machine that allows text input and decides whether that message is spam or not. Built in Python, implemented with support vector machine.

BLOCKCHAIN

-->LYMBASKOIN


Full stack development of a complete blockchain and cryptocurrency.

  • Implemented using proof-of-work systems to verify transactions.

  • Developed with Test-Driven-Development methodology.

  • Redis Pubsub implentation for broadcasting blockchain across all servers.

  • Backend uses Node.js and Express API.

  • Front End uses ReactJS.

WEB DEVELOPMENT

-->This Is Orlando


This Is Orlando campaign landing page. Released to 53k followers on @orlando Instagram

-->YelpCamp


Full stack development of a campsite review site. Functionality includes cultivating a community around camping with features such as member login, rating and commenting, and campground photography submissions.

-->A Cut Above


Front end development of a website for a local beauty salon.

OTHER PROJECTS

-->Random Twitter Follower


An application using the Twitter API that when called automatically picks a random follower of mine on Twitter and mentions them a custom message. Built in Python.


(Source code not available due to the use of private API keys)

-->File Word Counter


Python application that takes a file as an input and outputs the frequency of total words, total unique words, and individual totals for every word in the file