My current research involves analyzing a new metric tree data structure called Greedy Tree, and developing an algorithm to approximate the Hausdorff distance between point sets utilizing it. I am conducting research under Prof. Donald Sheehy.

Worked with the Warm Storage - Storage Node team. My project was about helping build performance measuring and stress testing tools for Meta's infrastructure.

I worked in a multidisciplinary, multicultural, and remote team environment and contributed to BentoML - an open-source framework to efficiently automate the DevOps side of Machine Learning models.

At Center for Cognitive Computing under Prof. U.S Tiwary and Mr. Punit SinghTopic: Affective Analysis of Project Gutenberg's CorpusGithub: https://github.com/pncnmnp/Affective-AnalysisI explored various sub-topics in the field of Affective Analysis, such as the circumplex model of affect (Russell, 1980), using word-emotion association lexicons such as Warriner (2013) for emotion recognition, and affect representation in 3D valence, arousal, and dominance (VAD) space. My contributions were to build and compare JeMaS, Doc2Vec, and BERT models for predicting the VAD space of text in Gutenberg and Emobank corpora.