Understood and Recreated Physic Informed Deep Learning model from a provided research paper.Adapted the created model to solve a different style of problem, outlined by the professor’s research.Developed a Deep Neural Network with a custom loss function derived from the physics equations and conditions listed in the research paper, using PyTorch, NumPy, and Scikit-learn.

Created Python scripts to automatically convert raw experiment data into an hdf5 database using h5py.Extracted data from 3 different formats (each with binary and MAT files) using a customizable dictionary of desired data points for ease of usability.Transformed the data into a common format that would then be stored in a hdf5 database.Designed an hdf5 database with the teams’ requirements in mind.Sorted and Systematized data into a common hdf5 database.Weekly meetings with Dr. J. Carl Kumaradas and his research team to discuss the requirements for data storage and propose new solutions for data organization.

Maintained company website using PatientSites, including the Covid-19 emergency information. Redesigned and Updated website to a coherent design composed of the companies’ colors.Created and Organized friends of PhysioExcellence; a directory listing recommended professionals by field and location. Helping patients find recommendations for treatment in their area.Maintained and Modified directory using python scripts to easily convert the information into the proper html template. Enabled easy modification to the directory while maintaining style uniformity.Developed a searchable database to help locate and match patient’s hardcopy files, ensuring records where kept for the legally required 10 years since their most recent appointment.Researched and Implemented a coax based Ethernet connection to physiotherapists office to improve Telehealth connection.