● Developed a computer vision-based deep learning tool to assist residents in classifying solid wastes for proper disposal.● Trained artificial intelligence models for image classification, object detection, and instance segmentation.● Used PyTorch and Tensorflow Lite to integrate models into a mobile application published on the Google Play store.

After learning as an Inspirit AI Leadership Fellow, I served as an AI Ambassador, spreading CS + AI knowledge to local high school students. AI Scholars is a pre-collegiate AI education program taught by MIT and Stanford graduates.

● Collaborated with 3 interns on “Identifying Exoplanets with Detectable Precession Rates with Dynamical and Light Curve Modeling of Multi-Planet Systems”, identifying and modeling 24 exoplanet systems with light curve simulation.● Studied systems in NASA's exoplanet archive, using Jupyter and extensive Python packages to create Precession models.● My code was used to accurately forecast orbit precession, for validating and reducing error bounds.