Andy Gnias

Fellow Human and Software Engineer

My name is Andy Gnias and I like to code. I graduated from Drexel in 2016 with a B.S. in Mechanical Engineering. Immediately thereafter, I took a job in software, and after 8 years in the industry, I've almost fully quelled my impostor syndrome.

I have extensive experience in backend development, have worked a good bit with DevSecOps and cloud-based tooling, and have done some work in machine learning through my graduate program.

I currently work as a Software Engineer at Arcadia, where I write Python modules to automate the collection and processing of utility data. I'm also pursuing a Master's degree in Computer Science at Temple University.

In my free time, I like to read, play soccer, do CrossFit, and pet my dog.

Here are some of my projects

• Secret Santa Selections Manager - Manages Secret Santa selections. Makes selections considering exceptions, and then alerts participants of who they are assigned to give a gift to via email.
• Spotify Playlist Generator - Takes a text-based list of songs and puts it in a Spotify playlist.
• March Madness Predictor - Used for creating a bracket for the Men's NCAA Division 1 Basketball Tournament. Offers an evaluation and prediction mode. Evaluation mode is a manual bracket selection process that provides relevant information to a user when making selections, such as rankings, recent game results, etc. Prediction mode makes automated selections using various prediction methods.
• Ticket to Ride Graph Analysis - Basic analysis of the board game Ticket to Ride, modelling the board as an undirected graph in Rust.
• Grocery List Creator - Takes a list of recipes and generates a list of ingredients for grocery shopping. Uses a very limited open source API, and definitely needs some improvements to be useful, but it's a fun concept that I'd love to expand on some more.

Here is some of the work I've done as a graduate student at Temple University

• Classification of Tweets Related to the 2022 Russian Invasion of Ukraine - Part of CIS 5523 coursework. Uses sentiment analysis, clustering, and a neural network to classify Tweets related to the 2022 Russian invasion of Ukraine.
• Tumor Segmentation - Part of CIS 5528 coursework. Uses auto-encoder neural networks to segment brain tumors from MRI images as part of the BraTS Tumor Segmentation Challenge.

Here are some articles I've written

• Analyze Data with Russian Trolls
• Interpreting a Basic vimrc File

Here are some things I like to do when I'm not coding

• See how much weight I can lift
• Check out what I'm reading on my Goodreads page
• Check out what I'm watching on my IMDB page
• Beat me in chess with minimal effort