Hi there 👋
My name is Cole and I'm a full stack software engineer living in NYC. I have hands-on experience building scalable applications using Python, TypeScript/Javascript,
Ruby and Java.
Currently, I'm working at Coast building the future of fuel cards. I'm also concurrently pursuing a Masters in Computer Science at Georgia Tech.
At West Monroe, I worked in their Product Engineering and Experience Lab (PXEL) practice. My project experience included:
In Deloitte Consulting's Strategy & Analytics offering, I had the opportunity to work on several cases across various industries. Some past clients include:
At Accenture, I helped support the PMO Team of a large SAP project for a Fortune 100 industrial and consumer products conglomerate by writing productivity macros in Excel and analyzing past testing cycles performance using SQL
Completed Coursework: Software Design & Architecture, Machine Learning for Trading, Computer Networks, Data Visualization & Analytics, AI Ethics & Society
Notable Coursework: Mechanical Engeering Senior Design Project, Design Methodology, C/C++ Programming, Electrical Engineering & Embedded Systems, Robotics
Divvy-Bikes-Scraper is a Python script that enables a Divvy bikes member to export all their ride data into a .csv file.
Lyft, the operator of Divvy bikes, does not have a public API for Divvy bikes so I had to reverse engineer the necessary GraphQL requests using the Network tab in Chrome Dev Tools.
Spowerfy-Redux is a web app written in React and Node that controls a user's Spotify playback to skip to the next song in a playlist at a specified interval (users can select between 5 - 120 seconds). Users also have the option to start
the playback on any of their active devices and any of their playlists. The ideal use case for Spowerfy is to automate your next power hour! 🍺
It is also a refactor of an existing project that I built back in 2020 in Python
with Flask which can be found linked here.
Link to project.
GroupMe.FYI is a web app written in Django that authenticates with GroupMe allowing users to see key stats (total likes, total messages, etc.) about the user's groups.
Note: I'm currently working on porting over this project from Python to Ruby which you can find linked here on Replit
Speech2Tweet is an Alexa skill I created where a user can send a tweet with their Echo device via dictation.
Originally, I wanted to create this Alexa skill using Python, but ran into issues with the handling of custom slot types (customer user input). I took the dead-end I ran into with Python as an opportunity to brush up on JavaScript. The embedded gif above shows the invocation of the skill in the Alexa Developer Console side-by-side with the output on Twitter.
Note that the source of my "hello world" tweet is "Speech 2 Tweet"
Outside of work, I enjoy traveling, weightlifting, reading, listening to podcasts, and following major North American sports (NCAAFB, NFL, MLB, NBA)
Enjoying the vistas of Toledo, Spain!