John Hunter

Education

In May 2020, I recieved my Bachelor's of Science in Computer Science from the University at Buffalo. This gave me a great foundation in programming and software engineering. During my time as an undergrad, I took classes pertaining to several different fields of computer science like data structures, algorithms, system programming, web development and app development.

After completing my Bachelor's degree, I was still eager to learn more about the advanced fields of computer science. That is why in September 2021, I began pursuing my Master's degree in Computer Science at the University at Buffalo. I decided to set my focus on the field of Artificial Intelligence since this had always been a topic that intrigued me as I took an introduction to Natural Language Processing during my undergraduate degree. Since starting my Master's degree, I have taken classes on machine learning, computer vision, digital image processing, and pattern recognition. In my final semester, I will be learning about reinforcement learning and deep learning. I am expecting to graduate in December 2022 and I am hoping to pursue a career in machine learning and computer vision!

Experience

Currently, I am working for EagleHawk One as a Machine Learning Intern. EagleHawk One is a leading provider of information services using drones and thermal imaging technology in Buffalo, NY. During my time here, I have been contibuting to a machine learning project the company has been developing. Some of the tasks that I been working on include:

• Updating an object detection model to improve accuracy by about 15%
• Utilizing AWS SageMaker and Mechanical Turk to increase training, validation, and testing data by approximately 200 images
• Managing contributions and project development branches using GitHub
• Creating documentation for new contributions and updated existing documentation

Projects

FidoNet

During my Digital Image Processing course, I was tasked with designing my own project that involved some of the techniques learned in class throughout the semester. For my project, I alos wanted to utilize what I had learned in my other machine learning courses to make something I could be proud of. I decided to create neural network that could classify the breed of a dog in a given image. To accomplish this, I utilized Python and the Tensorflow library to create a convolutional neural network and OpenCV to process over 1000 images to train the network. Overall, the network was able to achieve an accuracy of about 70%.

Text Chat Application

In the Fall 2021 semester, I took a course on Modern Networking Concepts and throughout the semester I worked on a team to create a text chat application. The app was written entirely in C++ and utilized multiple concepts learned in class. For the application, one computer could run the program as a server and open a user-designated TCP port to allow for connections from other computers running the program as clients. The clients were able to designate the server they were connecting to by specifying the IP address and TCP port and then send messages to other clients connected to the server. When a message was sent, the data would be placed into a packet and then sent to the server where it would decipher the metadata and send it to the correct destination. The application allowed for the clients to also keep track of the number of messages it had sent, log out, and delete its account. The application also had the server keep track of statistics like amount of clients connected, total number of messages sent, and a list of clients offline.

Study Buddies

This was the project that I worked on for my capstone software engineering class during my undergraduate degree in Fall 2019. I worked in a team with five other students to create a social media application designed to connect students on the Android platform. The project was designed to simulate a workplace environment where we utilized the AGILE development methodology; meeting weekly with a project manager, working in sprints, designing user stories, and presenting the progress at the end of each sprint. The project was programmed in Java using Android Studio and had an AWS S3 database integrated into the app. My team used GitHub to manage the code by creating branches and assigning tasks to individual members.

Contact

• Twitter
• Facebook
• Instagram
• GitHub

Elements

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