on Mac and Android using OAuth 2.0, Node, and React.

and explained findings to key stakeholders, followed by possible proposing next steps for development.

Integrated and developed REST API endpoints using Firestore and Node.js in collaboration with clients and other businesses including Federal Home Loan Mortgage Corporation (Freddie Mac) to send and receive mortgage information, increasing efficiency.

Redesigned data models and reorganized website infrastructure with React JS with an objective toward improvement of developer productivity by implementing modular design principles for the product, improving website performance and development speed.

Kept the internal data model aligned with the XML data model for clear representation of mortgages in JSON through effective communication with engineers from Mortgage Industry Standards Maintenance Organization (MISMO).

Executed development of a Python application to measure sand trajectory through computer vision that processed video of sand falling and calculating charge in an electric field.

Steered efforts in the automation of calculating the velocity, trajectory, and charge of triboelectric particles; educated researchers on proper use of software without the need of developer’s help through documentation of APIs and reduced time to gather data

Third author of the paper A laboratory study of the electrostatic charge of individual sand particles lofted in an electric field. Aeolian Research, 50(100675). https://doi.org/10.1016/j.aeolia.2021.100675 due to contributions towards research.

Enabled efficiency on statistical programmers’ patient information query by restructuring the database and creating a front-end web application using JavaScript and CSS that statistical programmers could access.

Rebuilt company webpage to be more accessible and aligned with the values and goals of the company.