I'm a Computer Science graduate student at NYU Courant. My work focuses on machine learning, data science, and algorithm design, with experience in deep learning for medical imaging, statistical data analysis, and natural language processing.

Currently, I'm working as a Machine Learning Research Intern at the Center for Advanced Imaging Innovation and Research (CAI2R) within NYU Langone Health. I am working on models to map diffusion MRI biomarkers to histologic features in renal masses using statistical and ML methods along with exploring advanced image registration techniques for voxel-wise alignment. The broad research objective falls under the umbrella of uncovering more from MRI for a potential substitution (to a larger extent than current levels) of invasive procedures (biopsies and surgeries).

I completed my Bachelor’s in Computer Science from IIT Mandi in 2019 and previously worked at TCS Innovation Labs, where I applied transfer learning to clinical data to improve automated medical coding.

My recent projects include developing a transformer-based News Veracity Analyzer using RoBERTa with ensemble learning, building unsupervised topic modeling pipelines for academic papers with semantic embeddings and GPT-based refinement along with FAISS-based question-answer system, conducting statistical analysis of movie ratings using hypothesis testing methods, and implementing a discrete-event-based scheduler simulator in C++.

I work at the intersection of theory and application, focusing on mathematically grounded approaches to practical problems. You can find my work on GitHub, and feel free to reach out via email in case of any questions.