Passionate about web development and database structuring. Enjoy data analysis and statistical applications of software. Enthusiastic about producing quality software and threading creativity into every aspect of a project.
Comfortable with constantly learning new things and put a strong focus on persistent improvement. Eager about working in teams, asking for help, and teaching others.
Graduated December 2018
GPA: 3.3
University of Missouri
Columbia, Missouri
Programming Languages:
    3+ years of experience with Java and C
    1-2 years of experience with: Haskell, Visual Basic & C#, PHP, Python, JavaFX, Kotlin
    Familiarity with relational databases, data structuring (XML, JSON), security, MySQL, PostgreSQL
Broad Experience with Front-End and Back-End Web Development
2+ years of experience with JavaScript, jQuery, HTML5, & CSS3
Familiarity and experience with MVC and other architectural considerations
Strong background with theoretical computing aspects, time and space Complexity, algorithmic efficiency, advanced data structures, OO Design Patterns, functional and OO programming paradigms
Internship program from June 2018 - August 2018
Developed applications under a WISA stack with a heavy focus on MVC architecture. A strong focus of this internship was self-reliant software. Experience spanning across REST Web APIs to front and back-end web development with heavy jQuery and ASP.net, and internal applications and analytics
Constant communication and coordination with employees in offices throughout U.S. Experience using essential development techniques such as code reviews, version control (TFS), and unit testing
Employed from September 2015 - May 2018
Managed a staff of 18-20 employees, in a fast-paced environment accommodating about 250 customers and generating $3000-$4000 a day.
Responsibilities included conflict resolution with guests and employees, efficient teamwork and cooperation, proper delegation of resources and time, organization, inventory, and basic restaurant duties encompassing cleanliness and quality.
Employed from August 2014 - August 2015
Colorado Springs, Colorado
Employed from May 2013 - August 2015
Centennial, Colorado
December 2018
Predictive analytic application to decide outcome of any given baseball game. Uses various statistical machine learning algorithms such as the Naïve Bayes classifier algorithm to predict performances of teams based on historical data.
Developed at the
University of Missouri in Columbia, Missouri