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Medical AI Research Assistant

Bio-DaSH Lab, NYU Langone Health

Working towards real-time detection of performance degradation in over 15 AI tools deployed in clinical settings.

• Built scalable pipelines for processing 280M+ EHR records using Spark
• Identified root causes of AI degradation using statistical techniques

AI/ML Research Engineer Intern

CVIT, IIIT Hyderabad

Developed synthetic data generation pipeline for Lecture Slide Understanding tasks.

• Fine-tuned LayoutLMv3, DETR, and LLaVa using PEFT techniques
• Wrote over 5000 lines of modular and extensible Python code
• Submitted research paper to ICDAR 2025

Data Analyst Intern

Wells Fargo

Built an AI-powered transcription tool for visually impaired employees.

• Improved transcription speed by 1.3x and accuracy by 40%
• Deployed solution impacting 15,000+ visually impaired staff
• Received full-time return offer

Master of Science

New York University

Computer Science

Bachelor of Technology

National Institute of Technology, Surat

Computer Science and Engineering

1st Runners Up at the annual Threesis Academic Challenge in NYU GSAS

NYU Graduate School of Arts and Sciences

Presented my ongoing research regarding post-deployment evaluation of AI tools in a short three minute talk titled The curious case of the aging AI doctor in front of a non-technical audience. My aim was to throw light on the perils of relying of short-term accuracy of AI tools deployed in hospitals and involved in critical clinical decision making and how our team at NYU Langone Health is trying to solve this issue by benchmarking models and developing real-time monitoring tools. My talk made it to the final round among 70 graduate presentations from NYU GSAS and I received the first runners up prize in the final round with a net prize of $1300.

Winner at All India Inter NIT Swimming Championships

NIT Rourkela

Represented my university in the all-India Inter-NIT Swimming games of 2023. Our team secured the runners-up position among 14 NITs