- Worked under Dr.Matteo Ottaviani to develop a Python framework that allows for the retrieval of parameters in the Earth’s system, from remote sensing observations of light intensity and polarization
- Used the LMFit library, a high-level residual minimization library for python which uses the non-linear least-squares technique, to develop the retrieval scheme.
- Implemented various input and value error-checking algorithms which will raise and (when appropriate) handle errors autonomously.
- Rewrote core methods of the framework to reduce abstraction and increase efficiency.
- Wrote detailed usage and program documentation while following Google's documentation style guide.

-Learn iOS app development using Swift programming language on Xcode
-Creating iOS apps such as Flix, Instagram, and Twitter app clones
-Integrating various APIs into Xcode projects such as the Twitter API
-Working with various Swift pods such as Parse and AlamoFire for image and backend integration
-Creating and integrating backends for apps using Back4App
-Working with a team of 4 students to create and showcase a unique iOS app that uses various weather-forecast APIs to help the user decide which clothes, cosmetics, and/or skincare are best for them in accordance with the weather.