Cooper Timmerman
Full Stack Engineer at Porsche Digital in Palo Alto, CA who enjoys music, playing piano, photography, fitness, cars, technology, and craft beer. Born and raised in Walnut Creek, CA.
Education
University of Colorado, Boulder - August 2018
Bachelor of Arts - Computer Science
Relevant Coursework: Data Structures/Algorithms, Software Development, Operating Systems, Network Systems, Cybersecurity, Data Mining, Functional Programming
Skills
Languages: JavaScript, TypeScript, Python, Swift, Bash, C++, HTML/CSS, PHP
Frameworks: React Native, React.js (Redux), Node.js, Electron, Ruby on Rails, Vue.js, Django
Testing: Selenium, Appium, Xcode UI Tests, Jest, RSpec
Related: git, GitLab CI/CD, Docker, K6, AWS, Azure, PostgreSQL, Redis, Sidekiq, Wordpress, Xcode
grig (iOS) - Connecting customers to food trucks and street vendors! // Under Construction
I am currently developing a large-scale mobile application that caters to an untapped market: street vendors and food trucks. At this point in time, there is no other large-scale mobile application for finding food trucks or other businesses that lack permanent locations. I intend to change that by providing a user-friendly and intuitive app that allows vendors to broadcast themselves on a centralized map, showcase specific items they're selling, and specify when they will start and finish selling for the day. Customers using the app are able to search and filter posts and specific items by categories and keywords, follow their favorite vendors and receive notifications when one starts selling for the day, and submit ratings and written reviews. The app is written in Swift, with backend features written in Ruby on Rails and Node.js. It features refined APIs such as Google Maps/Places, Firebase, Braintree Payments, and it uses Realm as a cloud database. The app is currently being tested on TestFlight; please email me if you are interested in testing it or are looking for more information.
Vybrision (iOS) - Available now!
Vybrision is an exciting startup committed to helping those who are blind or visually impaired navigate the world more easily. Through image and text recognition, this is achievable. With various APIs including Tesseract OCR, Google Maps/Places, and Firebase, users have the ability to scan photos for text, search Google Maps for destinations, all while using the Vybrision Vivienne wearable-technology. Vivienne is capable of indicating the angle, distance, and type of object it sees in front of it, and report this information back to the user within milliseconds through audio and vibration cues. Check out Vybrision.com for more information.
Jobs By Cooper
A Django web-app designed to make keeping track of your job applications easier. Capable of sorting and filtering large datasets. Sign up today! Hosted via AWS Elastic Beanstalk. Uses the Django Python web framework, SQLite, Bootstrap, and HTML/CSS.
Living Comfy (School Project)
A data science project that examined roughly 40,000 US zipcodes and gained insight to the relationship between their respective tax brackets and political views over the last decade.
Team Raspberries (School Project)
A locally hosted website that displayed information on a user's soil temperature and humidity, gathered by an Arduino sensor and relayed through MySQL. Allowed user registration through PHP + MySQL, and mapping of multiple sensors through MapBoxGL (python) + MySQL.
TCP Proxy Server (School Project)
A simple proxy server written in C as an introduction to Network Systems during my junior year at CU. Able to filter out specific IP addresses and domain names. A great way to dive into TCP/IP usage.
