• Worked on the development of the Next Generation Advisor Product for Oracle CEGBU (now Global Business Unit) • Developed/Designed new scripts being added to ML pipeline• Wrote code for new R&D Concepts: • Combined Metric Score, Stratified Sampling • Wrote scripts for new data transformations and data queries used for training• Wrote new scripts testing new R&D concepts• Wrote pytests for data queries and new R&D concepts • Presented Code presentations and conducted code reviews with other members of the Primavera P6 EPPM team

Finished developing a mobile application with Professor MacLellan that attempted to utilize deep sparse coding / convolutional neural networks for ultrasound images. Parts of this work include training and testing custom models on MNIST or CIFAR10 data. Finished the creation of a Flask Application that applied Active Learning to a set of COVID-19 videos and attempted to tell the difference between COVID-19 cases from non-COVID-19 cases. For the final project, I completed the development of a mobile application that would allow for a user to batch select files and run inference on those files with a translated Tensorflow Lite version of a COVID-19 classifier.

Worked with a mathematics professor to develop a MATLAB algorithm that can generate an adjacency matrix for any approximation of the Sierpinski Gasket. MATLAB source code also includes applications of this algorithm to observe the effects of various dynamical systems on the Sierpinski Gasket utilizing the adjacency matrix.

Assisted in the replacement of parts of clients' computers such as SSD cards, graphic cards, etc. Have worked with cracked screens and making small repairs. Performed malware checks and assisted with the use of remote management services such as Kaseya to observe any problems on others' computers.