About
I'm a Computer Science and Mathematics student at the University of Wisconsin-Madison. I am passionate about building solutions to real problems using Technology and Research.
My experience spans full-stack development, research, and machine learning at institutions like MIT, Harvard, and AIIMS. I currently work as a risk-management intern at the National Stock Exchange of India. I am especially interested in quantitative finance and entrepreneurship.
Technologies
Interests
Experience

Risk Management Intern
Dec 2025 - Feb 2026, May 2026 - PresentNational Stock Exchange of India (NSE)
Designed a large-scale collateral optimization engine for CCP risk for minimizing cash margins across 1M+ clients. Implemented a low-latency max-flow system (Dinic) on sparse ownership graphs, which reduced the active graph by ~70%. Generated real-time margin coverage and collateral utilization metrics.

Web Developer & Marketing Analytics Assistant
November 2025 - May 2026InterPro, UW-Madison
I managed Interpro's 200+ page web ecosystem and ensure accurate content & fast load performance. I work with Ahrefs, Google Analytics, and Search Console to study 200k+ monthly data points & detect growth opportunities. I also created a Vector-Based Backlink Toxicity Algorithm (V-BTA) to automate backlink-risk assessment.

Project & Communication Assistant
April 2024 - October 2025Harvard T.H. Chan School of Public Health India Research Center
Collaborated with the research team to re-design and optimize UI/UX on WordPress (200+ pages made). Assisted in website content development, SEO, online logistics, transcribing, and event management under Prof. K Vish Viswanath (HSPH).

Research Associate, Department of Radiation Oncology
July 2024 - August 2025All India Institute of Medical Sciences (AIIMS)
Conduct literature search on immunotherapy biomarkers, develop ML algorithms to map tumor-immune interactions. Perform data interpretation and assist in drafting the manuscript. Co-authored a Review Published in the AP.JCC.

Programming Team Lead (Full Stack Software Engineer)
May 2024 - September 2025MIT Media Lab
Developed a web-app for Neuro86, an AI-based startup focused on managing the end-to-end journey of neural disease patients. Worked on both backend and frontend, coding the patient medical timeline component under Prof. Ramesh Raskar.
Projects
A project utilizing Retrieval-Augmented Generation to create an AI expert on a specific codebase.
RAG · LLMs · Pinecone · Webhooks
A machine learning model to predict customer churn.
Streamlit · sklearn · numpy · Pandas · SMOT · Feature Eng. · Ensembling
Academic
Published in APJCC · December 2024
Review paper on using ML to map tumor-immune interactions, as part of research with AIIMS.
Beyond
Challenge
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Contact
I'm always interested in hearing about new projects and opportunities. Feel free to reach out.