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.
Primarly a back-end developer, most of my experience is full-stack development. I try to be a multifaceted generalist with an area of focus.
Computer vision is my passion. I want to provide computers with the capabilities to reason similar to humans! This occurs across a plethora of domains I'm willing to explore.
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++, Python, Java, C, MATLAB,
C#, UnityScript, OpenGL
Sci-kit Learn, Pandas, Numpy,
Tensorflow, Caffe, CUDA, MPI / OpenMP / OpenACC,
NLTK, IPython, OpenCV
MySQL, Unity3D, Git/Github, Amazon Alexa
SQL Server Management Studio, ASP.NET MVC
Google Chrome API, TFS,
Jenkins, Gaia, JIRA
Unit testing, Agile Methodology, Spanish (proficient)
Windows, OS X, Unix/Linux
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Machine Learning Intern (Hulu, Los Angeles CA)*
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)*
University Organizations Leadership
SteelHacks 2018 (Organizer)
University of Pittsburgh CS Club (Vice-President, 2017-2018)
CodeDay Pittsburgh (2017)
Investing Now Workshop (2017)
Undergraduate Teaching Assistant (University of Pittsburgh, 2016)
Tech Club Co-founder and Officer (Orrville High School, 2014)
Research Community Leadership
AAAI-18 (Robotics/AI Outreach Workshop, Volunteer)
SIGGRAPH 2018 (Student Volunteer)
CVPR 2018 (Workshop Co-organizer)
Computer Vision Foundation (Member)
Assocation for Computing Machinery (Member)
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!