Hello, I'm

Reevu
Adakroy

Computer Science & Operations Research at Cornell.

Reevu Adakroy
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01

About

I'm a senior at Cornell studying Computer Science and Operations Research.

I do research in online learning and have interned at NOAA and the SEC.

Outside of school, I like doing competitive programming.

Education

Cornell University
B.S. Computer Science
B.S. Operations Research & IE
Class of 2025

Research Interests

  • Online Learning
  • Machine Learning
  • Computer Vision
  • Optimization

Recognition

CRA Outstanding Undergraduate Researcher
Honorable Mention, 2025

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Experience

Dec 2022 Present

National Oceanic and Atmospheric Administration

Strategy & Data Engineering Intern

  • Team co-lead for Generative AI research team, building pilot projects to test security, user safety, and efficacy in government
  • Implemented anomaly detection system to streamline detecting application outages for the Office of the CIO
  • Supported NOAA Fisheries on Data Modernization and Cloud Computing initiatives
Aug 2021 Nov 2022

U.S. Securities & Exchange Commission

AI/ML Intern, Division of Economic and Risk Analysis

  • Created custom Python web scraper processing 600+ companies per minute, boosting productivity 30x
  • Designed BERT-based NLP model to filter and rank public comments by semantic relevance (100x productivity gain)
  • Oversaw development of automation tools deployed to active FBI investigations
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Research & Projects

Publication

Online Learning

INFORMS Management Science

Developed meta-algorithms extending instance-optimal regret guarantees to adversarial settings in Sequential Bit Prediction. Built comprehensive simulations with Python, NumPy, and Matplotlib.

Competition

MIT Battlecode 2025

13th in the World

Built a multi-agent AI system in Java for MIT's annual month-long competition. Seeded 2nd in the U.S. and finished top 16 internationally.

Applied Research

Microstructure Composites

Applied Mechanics

Physics simulator generating stress-strain curves for random boron microfiber distributions 5x more efficiently than state-of-the-art. Developed web application for dissemination.

Let's connect

Feel free to reach out.

ra569@cornell.edu
LinkedIn / GitHub