Currently a full-time student at the University of Pittsburgh. Learning everyday doesn't just stop after college; it follows you throughout life.
My love falls with engaging young coders and exciting them about the fascinating world of computer science.
Data science, virtual reality, and back-end development are just a few of my interests. Tacking on algorithms/data structures and CS theory creates my dream job.
In an ideal world, I'd be working in the education, finance, or research & development industry. But my wide range of interests can take me anywhere!
If I'm not responding to your emails, I'm either watching tennis/soccer, playing sports, busy coding, or watching a new psychological thriller movie.
Currently looking for Summer research and internship opportunities. Let's get in touch.
C++, C, C#, Java, Python
SFML, UnityScript, OpenGL
MySQL, MySQLi, Unity3D, Git/Github, Amazon Alexa
SQL Server Management Studio, ASP.NET MVC
Google Chrome API, TFS, Sci-kit Learn,
Jenkins, Gaia, JIRA
Unit testing, Agile Methodology, Version Control
Data Analysis, Machine Learning, Spanish (proficient)
Windows, OS X, Unix/Linux
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Machine Learning Intern (Hulu)*
Security Intern (CMU Software Engineering Institute, Pittsburgh PA)*
Software Engineering Intern (JP Morgan Chase, Chicago IL)*
Machine Learning Forum Mentor (Udacity, remote)*
Software Engineering Intern (MRI Software, Solon OH)*
Undergraduate Teaching Assistant (Uni. of Pittsburgh, Pittsburgh PA)*
SteelHacks 2018 (Organizer)
University of Pittsburgh CS Club (Vice-President, 2017-2018)
Undergraduate Teaching Assistant (University of Pittsburgh, 2016)
Tech Club Co-founder and Officer (Orrville High School, 2014)
Ludum Dare #26, SteelHacks 2016, PittApps 2016, MHacks 8 2016, JP Morgan Code for Good 2016, Pitt Challenge 2017 (1st place), TartanHacks 2017, CMU Datathon 2017 (Finalist),
JP Morgan Global Technology Hackathon (1st place),
HackMIT 2017 (Best Re-imagination of the Financial Market)
An Amazon Alexa skill that provides a preliminary self-diagnosis to the user by listing their 3 most common illnesses from their symptoms. Created and won 1st place at the Pitt Challenge, a 24-hour healthcare hackathon hosted at the University of Pittsburgh. Created with Node.js and several other services.
A random terrain generator using 2 algorithms: Midpoint Displacement (2D terrain) and Diamond-Square (3D terrain). Allowed me to mess around with a low-level graphics library for the first time. Pictures/video of each algorithm are on my Github. Created with LWJGL, a Java binding for OpenGL.
In Udacity's Machine Learning Nanodegree, I have learned about unsupervised, supervised, and reinforcement learning using a series of different models. I have completed 5 projects and have an ongoing Capstone project. Written in Python with libraries Scikit-learn, NumPy, Pandas, and OpenCV.
I'm always working on something new. Whether it's with data science, games, web applications, low-level applications, or hackathon projects, you can find my new stuff on my Github!