Mitchell Freedman

Stevens Institute of Technology

GPA: 3.3 Honors: Edwin A. Stevens Scholarship, Scholars of Excellence

• Graduated as a member of Upsilon Pi Epsilon with honors

• Recognized for completing 2500+ hours working via Stevens Cooperative Education Program

• Main Courses: Data Structures, Algorithms, Discrete Structures, Web Programming, Computer Organization, Automata & Computation, Systems Programming, Database Practicum, Concurrent Programming, Operating Systems

• Additional Courses: Agile Development, Team/pair Programming, Fundamentals of CyberSecurity, Ethics of Technology, Probability & Statistics, Linear Algebra, Physics (mechanics and E&M), Automotive Engineering

• Clubs: Formula & Baja SAE, Hobby Robotics Club, Comp-Sci Club, Computer and Console Gaming Society, Game Development Club, Stevens Hillel

Game Engineer and New Tools Developer

• Deconstructed the API for Bink, a proprietary video format, in C++ to create a tool to split Bink frames while retaining the alpha channel.

• Created a tool in both Python and C++ to compare compressed and uncompressed visual assets with regard to size and quality using SSIM algorithms.

• Revamped a tool in C# that modifies XML data for animators, adding new features based on team feedback.

System Tester and Researcher

• Worked with a team to complete Facebook Oath token transfer on JnJ's Health store in PHP. Created document object model tests using PUnit and MongoDB.

• Researched FHIR-Json compliant applications to determine potential hiring services to be used for JnJ's HR team.

Google Glass & GUI Project Manager

• Redesigned Schindler's Google Glass Diary application by replacing nested lists with Objects in Android.

• Created a GUI in Java and Swing that extracts content from Glass and allows for modification and document export.

• Prototyped a robot (designed in CAD and made at Schindler) aimed at autonomously testing elevators overnight using Autocad, Arduino, and C.

• Set up documents for non developers to allow for easier.

Capstone Project: Fizy - Personalized Fashion Recommendation

Fizy is a proactive approach to fashion. It uses machine learning and computer vision to understand what is in your wardrobe and what combinations you can create that are stylish

• Drafted Fizy- a personalized fashion recommendation engine- with four other students, acting as support developer.

• Acted as both support developer, collecting data via bots from Flickr and Pinterist to feed Models, and trouble shooter

• Lead Fizy’s business, art, website, and marketing operations like UI, logo, value prop, revenue stream and more.

Amazon Alexa Skill: Game Helper

• An Alexa Skill written in NodeJS that helped make teams from people at parties or gatherings. It is no longer available of the skill store, it was only a test.