Working under Dr. Zhitao Ying and Dr. Menglin Yang in the field of Geometric Deep Learning.Worked on building Hypformer, a novel Graph transformer fully in hyperbolic space, Accepted in KDD 2024.https://arxiv.org/abs/2407.01290

Worked in the LinkedIn Groups team and developed an end-to-end scalable and optimized notification pipeline to recommend precise groups to users. Used Scala, Hadoop, Kafka and SpringBoot.Had a direct impact on more than 3 million members by sending notifications for group-recommendations.Won first place in the intern-hackathon, developed a modified page-rank algorithm to give scores to endorsements.Was offered a Pre-Placement offer as Machine Learning Research Engineer.

Built Project Gutenberg’s Dataset: Worked on building project gutenberg’s dataset with all information about the authors and text, analysed it, and researched newer techniques for making word embeddings that model change in word’s meaning overtime.

Summer School on Artificial Intelligence with focus on Computer Vision and Machine Learning.

Simulated the MIMICS model, used Python to simulate the Michigan Microwave Canopy Scattering Paper, developed an interface to calculate backscatter coefficient given a set of parameters.