• Developed a web application for automatic background removal utilizing Python, React, and Flask

• Used transfer learning and incorporated the ResNet-50 architecture by training the model for 70 epochs using TensorFlow

• Added user authentication, a feature to maintain the history of uploads and a feature to export the image in different formats

• Replaced the legacy Flutter codebase with high functioning, modular code which used the provider package for state management removing 50+ bugs and reducing the lines of code by 40%.

• Developed and tested new features in the app like search functionality, nutrition management page and workouts management page as per the scrum cycle which resulted in 27% increase in downloads.

• Implemented 20+ APIs in NodeJS using JavaScript and wrote cloud functions for different front-end functionalities.