Ryan Tompkins

*** ********** ****, *********, ** 12188

Phone: 518-***-**** – Email: ac6acd@r.postjobfree.com

Github: https://github.com/rtompkins95

Rochester Institute of Technology B.S. in Computer Science: GPA: 3.52 Work Experience

• NimbleUser: Jun 2017 – Dec 2017

Developed critical features for NimbleAMS, the most popular Association Management System built on Salesforce. Was the first co-op to remain on the most senior team for the entirety of the internship.

• Intuit (TurboTax): Jan 2016 – Aug 2016

Full-stack web development for TurboTax Online. Used Agile methodology (Scrum) to develop features for their main web application during the 2016 tax season. Primary development was in JavaScript along with in-house and production libraries. Worked with legal compliance issues, secure financial transactions, and maintenance of legacy technology.

• Student Lab Instructor: Aug 2014 – May 2017, Rochester Institute of Technology Employed as a teacher’s assistant for Computer Science introductory courses. Weekly grading, tutoring, and mentoring responsibilities while working closely with a professor. Education

• Bachelor of Science in Computer Science, Expected Graduation: August 2018 – RIT Projects

• New York City 2017 Accident Analysis for Data Mining – Final project for a machine learning class involved analysis of the 2017 NYPD Motor Vehicle Collisions dataset. Used K- means to visualize the most dangerous areas of NYC among a million data entries.

• PaymentBrands – Integrated NimbleAMS with a payment gateway that was released by NimbleUser’s parent company. My engineering talent put the senior team months ahead of schedule for the project deadline and will save CommunityBrands a significant amount of money on authorization fees for payment transactions.

• Pong with Object Detection – Final project for a computer vision class. Developed a Pong clone built in Python with object detection implemented in OpenCV. Allowed players to use notebooks for paddles that were tracked by a laptop webcam. Technology and Skills

• Python, JavaScript, Java, Scipy, Scikit, Numpy, Pandas, Matplotlib, Node.js, Django, Salesforce, Apex, C, C++, Haskell, Allegro 4/5, SFML, Bash, Linux/Unix, Windows

• Machine learning experience at the graduate level. Artificial intelligence focus for bachelors degree provided in-depth experience with topics like K-means, Principal Components Analysis, Decision Trees, Baye’s Classifiers, Predictive Modeling, and Neural Networks.