At the University of Oregon, I helped instruct three introductory computer science classes: CIS 210, CIS 211, and CIS 212. The topics of these classes included programming basics (conditionals, loops, etc.), object oriented programming, and data structures.

Duties:

• Helped teach Python and C basics, OOP, and data structures to students
• Increased my ability to review, understand, and develop code

A message board for course instructors and students to post questions, provide answers, connect, and communicate. My colleagues and I built Inquire as an intuitive tool to aid professors with classroom discussion and incentivize productive interaction amongst peers.

Duties:

• Integrated backend resources with the Flask framework to communicate with our frontend API and store data in our MongoDB database
• Created frontend components using React
• Maintained a RESTful API to help implement CRUD operations
• Worked with a team of 4 other software engineers in agile/scrum sprints

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Completed as a class assignment for CIS 330 at the University of Oregon, this encryption project showcases an object oriented approach to five different encryption techniques: Substitution, Caesar, ROT13, Running Key, and Vigenere Ciphers. This project was completed in C++.

Duties:

• Learned how 5 different types of ciphers work
• Utilized OOP in C++
• Focused on inheritence and polymorphism

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This time series analysis support project supplies the user with an all-inclusive library that gives the ability to create a transformation tree and execution pipeline. These object-oriented data structures allow the user to create and modify the tree, and also to create pipelines that successively execute different processes regarding time series files. These processes include various preprocessing methods (such as file I/O, data involving pandas DataFrame creation/manipulation, and more), modeling and forecasting, statistics, and visualization. Data scientists can then use this transformation tree design to run different pipelines and see which forecasting model works best.

Duties:

• Created the visualization component using Python frameworks
• Worked alongside my colleague to construct a transformation tree capable of evaluating multiple execution pipelines for a given time series

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Provided with an aneurysm data set, I was tasked with creating images of the aneurysm so the data could be visualized. The script I created generates 1000 images that can be put together to create a movie where the camera circles the aneurysm. This project was done in C++ and VTK.

Duties:

• Applied Phong Shading with one-sided lighting for both diffuse and specular components
• Adjusted the camera angle to create 1000 images used for the final video
• Read in and manipulated data using VTK

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Using OpenGL for just my second time ever, I had to create a model of a dog. It was required that one part of the dog moved, so I made the tail wag and the eyes move up and down. Once ran this script will generate a video that continuously rotates around a dog, butterfly, bone, and food bowl. This project was done using C++ and OpenGL.

Duties:

• Organized architecture of the project by splitting parts of the dog into different functions
• Created every part of the model by translating, scaling, and rotating matrices

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Given an asteroid data set my job was to create a script to visualize the data using volume rendering. During this process I attempted to provide some optimizations like adding early ray termination. Along with the script and image that the script generates, I also wrote up an analysis on the performance impacts of utilizing early ray termination. This project was done using C++ and VTK.

Duties:

• Read in data using VTK
• Determined how to color each pixel using ray casting
• Composited samples with the help of a transfer function
• Analyzed various run times of generating low and high resolution images to determine the efficacy of early ray termination

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