Welcome! This website is a collection of my work. Check out my projects, socials, and more!
Welcome! This website is a collection of my work. Check out my projects, socials, and more!
Hello! I am a rising senior at the University of Florida. I was introduced to computer science in high school, and I quickly grew to enjoy it. When I graduated, I decided to follow this interest in college. I am currently pursuing a Bachelor of Science degree in Computer Science at the UF College of Engineering, along with a minor in Mathematics. I am spending my free time learning about HTML, CSS, JavaScript, app development, and machine learning. This website is a medium to showcase my skills and passion for computer science. I hope you enjoy what you see, and I always appreciate feedback. Thank you!
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I am very fluent in C++, Python, and Java. I have the most experience in C++, but many of my recent projects have been in Python.
Most of my object oriented programming experience has been in C++ and Java.
I have been learning HTML, Javascript, and CSS, which I hope to have demonstrated with this website.
I have done multiple projects in Unity in high school and college, some of which are showcased below.
I have experience with back end programming, as I have been developing a full stack mobile application, also showcased below.
I recently took an Applied Machine Learning course and have been looking into my own projects in the field of ML, as it is
a topic that greatly interests me.
I have moderate experience in Scikit Learn and Keras/TensorFlow, including a variety of neural network architectures.
Interned within AWS EMR, Amazon's big data analytics platform.
Developed proxy instances, which are specialized EC2 instances that provide connectivity between the EMR service and a customer's private subnet cluster.
Created an end-to-end feature that allowed for unique proxy customization, creation, and attachment.
Condensed the proxy testing procedure from 2-3 hours to 10 minutes and 1 CLI command.
Utilized Java, Bash, AWS DynamoDB, SQS, S3, and IAM.
Developing a full stack mobile app to help college students better plan their nights. Students can view the most popular places to hang out on a day by day basis. Users can view others' plans as well as vote on their plans.
Website that provides real time weather information based on city name or zip code.
Developed a full stack web application to help kids with unequal access to education expand upon their vocabulary and better learn English. This project was developed for ShellHacks 2022 with Chase Wrenn, Jonathan Lun, and Max LoGalbo
Developed a KD Tree implementation for large scale multidimensional data storage. The program creates a KD Tree from a given dataset and then performs a range query on the tree, returning all tuples within the query. Refer to Github for a more detailed explanation of KD Trees.
Pulsar is a local PvP 2D space fighter game inspired by Tank Trouble. Players are pit against each other in a map with
lasers, asteroids, missiles, and more!
I worked on 2 machine learning Kaggle competitions over summer 2022. My model for the titanic competition had 77% accuracy (KNN Classifier), and my model for the disaster tweet classifier competition had about 74% accuracy (Recurrent Neural Network).
This program gives users the most efficient flight paths based on cost for trips within the US based on 2018 flight data. This project takes advantage of Dijkstra's shortest path algorithm and large scale data manipulation. Co-developers - Max LoGalbo, Chase Wrenn
I developed this website using HTML, JavaScript, and CSS. Please feel free to look at my code through Github!