Built a full stack web app from scratch consisting of React, Express, Node.js and MongoDB. Designed the app with CSS and HTML. A full digital mortgage experience with full application gotten from borrower from the front end, data sanitized and validated, then sent to the back end and processes performed on this data. These processes include soft credit check with credit bureaus, underwriting rules, and a pricing engine to get them the lowest rate for the situation, all automated. Also implemented Plaid API to verify income. Implemented daily version control, and worked in Linux and the command line.Implemented chat and video tools in the app to be able to talk to customers. (cohere.io)Automated emails and marketing system in the app as well through those API's. (twilio)www.bestfinance.io

• Led a team and built the worlds first Deep Learning vision system for analyzing a particular aspect of blood that causes blood clotting abnormalities (currently under development)• Resulted in intellectual property• Tensorflow, Keras, Fast.ai, Python, Linux , Jupyter Notebook• Implemented the system onto the medical device capable of utilizing the software. Currently being used on active patients

•Built deep learning models to search for, validate and personalize potential treatments and methodologies for Duchenne muscular dystrophy using DNA data from next generation sequencing devices•Organized data into usable datastructures, with numpy and pandas

Built an autonomous maze-solving robot. Using skills in circuit design, microcontroller programming, circuit debugging, feedback control, and sensor fusion to create a small "mouse" with motors and IR sensors capable of driving through a maze, searching for the shortest route using an algorithm, and then proceeding to start the maze again and autonomously solving the maze in the quickest possible time.

Built a drone capable of autonomous flight. Installed sonar sensors on a drone, connected this to a bluetooth module and had this signal relayed to a hacked controller. This controller adjusted throttle and direction settings automatically based off of the signal received from the sensors. Used Arduino micro-controllers in a custom circuit and C++ programming to connect sensors and control devices.