Worked as a research intern under Dr. Farnaz Heidar Zadeh on extending Equivariant E(3) Graph Neural Networks for predicting the atomic energies of organic compounds.

I am working on adding Graph Datasets to MLDatasets.jl and improving API access to various other data sources like SNAP. I will also be working on loading large datasets that don't generally fit in computer memory.

• Developed explainable transformer-based models for enhanced identification of Diabetic Retinopathy.• Assisted in developing software for remote eye screening technology in association with Qualcomm R&D that secured the 2nd prize in Indian Mobile Congress Congress 2022.

• Reproduced and improved existing Dialectical-GAN for geospatial image-to-image translation for converting low resolution SAR images to TSAR images using Cumulant loss.• Surveyed existing segmentation algorithms like FR-CNN, MR-CNN, and C5 for masking buildings, forests, and cropland from SAR images.

• Published over 40 articles and tutorials on the python ML ecosystem ranging from ML frameworks likePyTorch and JAX to niche topics like grouping dataframes in pandas.• Published 10+ high-quality tutorials on Linux commands and applications.