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Ansester/README.md

Ashmit Mukherjee

I'm a Computer Science senior at NYU Abu Dhabi, with a minor in Economics. I'm interested in computational social science: how people make decisions together, and what changes when AI participates.

My current work spans software for human–AI cooperation experiments and training and evaluation of protein language models. I also work on a capstone about detecting faults in experimental software using synthetic decisions.

Research and contributions · Projects · LinkedIn

Public projects

  • CAMP: a five-person campus equipment project. My contributions cover staff APIs, backend testing, and client API utilities.
  • Hinglish NER: a four-person NLP course project, with preprocessing, training, and evaluation code for multilingual token classifiers.
  • Salary regression: historical job-listing data, grouped evaluation, and a Streamlit demonstration.
  • Community crime data analysis: an observational regression exercise on historical U.S. community data.
  • eCampusExplorer: Unity campus-tour navigation scripts, with the supplied controller's original credit preserved.

Earlier C++ coursework covers sparse matrices, hash tables, heat diffusion, least-squares fitting, and an iterated Prisoner's Dilemma.

The faculty research repositories are private. My website explains the questions, my role, and the current evidence separately from these public coursework repositories.

Pinned Loading

  1. camp-final-project camp-final-project Public

    Team coursework: React and Express campus equipment reservations, staff workflows, and MongoDB integration tests.

    JavaScript

  2. eCampusExplorer eCampusExplorer Public

    Unity campus-tour navigation scripts with checked waypoint routing. Script supplement; scenes and headset build not included.

    C#

  3. hinglish-ner-research hinglish-ner-research Public

    Team coursework: preprocessing, training, and evaluation for multilingual Hinglish token classification.

    Python 2

  4. crime-prediction-ml crime-prediction-ml Public

    Coursework: observational regression on historical U.S. community data, with a bounded Streamlit demonstration.

    Python

  5. salary-prediction-ml salary-prediction-ml Public

    Historical job-listing regression with duplicate-aware grouped evaluation and a Streamlit demo.

    Python

  6. RoomWise RoomWise Public

    Conversational furniture shopping with swipeable product pages and live room previews. SwiftUI, ARKit and Kotlin Multiplatform; optional free Groq/Tavily.

    Swift