Aaron Shipley

Complex problem-solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code.

• CompTIA ITF+

• CodeCademy Introduction to Cyber Security Course

All project files listed and more can be found in my GitHub Repository linked to the QR code at the top of the resume

Traveler Getaways Full Stack Web Application

This web application is designed as a Travel Agency site that lists different vacation/resort ideas for potential customers. The site contains resorts, lodging, food, contact, news, and about tabs for the user to select. The project was done for a class project in Full-Stack Engineering per the requirements of SNHU's B.S. Computer Science Degree program. Features of the site were built on the front and back-end development principles. Restful API development, MVC routing, Handlebars implementation, static Html to dynamic routing, database access, authentication measures, encryption, and SDLC best practices were applied to the web app throughout the 8-week development.

Test Automation With JUNIT5

Test automation techniques and tools used to test a Java program in Eclipse IDE. The test automation verified and authenticated users to the program, while providing input validation tests. Assertion tests were used to test data that was input to the program and against database data previously stored within the program. This test implementation was done in detail and accompanied by a Test case documentation that outlined the proper steps taken and lists of user and business requirements.

3D Rendered Scene with OpenGL and C++

A 3D rendered scene using OpenGL in C++ and Visual Studio. The scene was rendered via vector matrices and incorporated methods and techniques to provide 3 dimensional effect to each object, texturing of objects, multiple light sources within the scene, and multiple objects that required complex rendering of multiple shapes to create the object

Treasure Hunt AI Game in Python using TensorFlow

 This project is designed to display a simple treasure-hunting game that an AI will "learn" from historical data to find the correct path to the treasure. It is written in Python language with the use of Keras, and TensorFlow. The system will use previous plays of the game to systematically find the best path based on rewards designated by moves based on a 0-1 scale.