Levi Kipke received a degree from the University of Michigan where he studied data structures, algorithms, databases, computational theory, and more. He is proficient in C++, Python, HTML, CSS, and other languages and tools. Kipke has experience designing applications at NeuroNexus Technologies using COMSOL for electrical stimulation modeling. He also coordinated graphic design teams at The Michigan Daily and is currently designing an interactive election graphics gallery. Kipke has created database, optimization algorithm, card game, and video game AI programs to enhance his skills in C++, Python, data structures, and collaboration.

1. Levi Kipke
EDUCATION
UNIVERSITY OF MICHIGAN
COURSEWORK
Data Structures and Algorithms
Web Databases and Servers
Computer Architecture
Computational Theory
Discrete Mathematics
TECHNOLOGIES
LANGUAGES
C++ • Matlab
C • Python • HTML •
CSS/SCSS • Java
SKILLS
Git • COMSOL Multiphysics •
InDesign/Illustrator/Photoshop •
Eclipse • Xcode •
Linux command line
EXPERIENCE
NEURONEXUS TECHNOLOGIES
• Designed an application using COMSOL to create custom models of electrical
spinal cord stimulation based on user input.
• COMSOL application was sent to production and used to teach new
salesperson hires how NeuroNexus technology works.
• Helped to design frontend of an application to simulate neural activation from
various types of brain probes.
• Explored capabilities of Java, C++, and Matlab to determine most effective uses
of each in the projects.
THE MICHIGAN DAILY
• Acted as liaison and coordinator between a team of graphic designers, sports
writers, and photographers to streamline print production and communication.
• Utilized HTML and CSS/SCSS to design frontend box feature for displaying
ratings of TV shows, books, etc.
• Currently creating frontend design of interactive graphics gallery to cover the
upcoming presidential election.
PROGRAMMING PROJECTS
DATABASE DESIGN AND MANAGEMENT (C++)
• Designed backend of a database program that functions like a simplistic SQL.
• Enriched ability to work with interacting, complex data structures, using
numerous facets of C++ STL to increase code readability, speed, and
performance.
NP-COMPLETE PROBLEM SOLVERS (C++)
• Designed a driver to solve the Traveling Salesman Problem, Minimum Spanning
Tree problem, and Knapsack problem.
• Explored various families of algorithms such as dynamic programming, branch
and bound, and backtracking to determine the fastest and most efficient
method.
EUCHRE CARD GAME DESIGN (C++)
• Created a fully functional game of euchre with AI and human interfaces, and full
card-deck capabilities.
• Effectively utilized data abstraction methods and dynamic memory
management.
VIDEO GAME ARTIFICIAL INTELLIGENCE DESIGN (PYTHON)
• Successfully designed an AI to beat a simplistic map-wandering video game.
• Increased proficiency with programming in Python and unit testing.
• Productively collaborated with a team to innovate new AI methods and
strategies.