Connor McLoon

About Me

Hi, I am Connor McLoon, an ambitious Computer Science graduate, cum laude, from the University of Florida. I have a minor in Innovation with an Artificial Intelligence specialty. I have more than three years of work experience in Front-End development, Back-End development, Database management, and Full-Stack development. I specialize in Python, C#, C++, and am proficient in JavaScript and React. I have experience developing enterprise business applications, AGILE, SCRUM, and Sprint development, as well as experience with executing artificial intelligence experiments using high performance computing systems.

Throughout my time in the workplace, I have developed and maintained internal applications, integrating security systems on flagship products and developing processes to handle multiple millions in monthly commissions. In university, I have worked on multiple applications and projects, including cloud hosted websites and artificial intelligence based cancer diagnosis frameworks.

GatorBiome

For my senior project, I collaborated with a team of colleagues to develop an artificial intelligence framework to train and optimize models on human gut microbiome data in order to diagnose diseases like colon cancer. Our application includes hyperparameter tuning, feature engineering, and model training. Our team also constructed a fully functional user interface to demonstrate graphical results. After multiple rounds of experiments, we achieved greater than 80% accuracy rates in diagnosis.

If you want to visit the repo to see the code, you can find it here!

Cook XP

This project was made to simulate the development of a small scale social media website based around gamifying the cooking expereince. Our team developed a MERN stack application to access public recipe information via the MealDB API. We implemented an internal CRUD API to handle requests, and a token system to authenticate users and hash passwords. After researching, developing, and testing the website, we deployed the front and back ends on render, a cloud-based free website hosting platform. Our application won first place among our class for its intricate design and functionality.

SoundMachine

This personal project was made for me to practice developing Angular applications. My goal is to develop a physics-based application with an Angular front-end and Python back-end to simulate the science behind how sound waves interact with our surroundings. This project is currently in-progress, but the repo and updates will be posted here!