cv

Basics

Name Srija Mukhopadhyay
Email srija.mukhopadhyay@research.iiit.ac.in

Work

  • 2024.05 - 2024.08
    SWE Intern
    Google
    Worked as a part of the Android PDF team, implementing an end to end pipeline for obtaining and selecting images in PDFs.
  • 2024.01 - Present
    Undergraduate Researcher
    University of Pennsylvania and Arizona State University
    Currently conducting research on multi-modal models, with a focus on evaluating their performance and robustness in visual question answering for charts and maps. This work is in collaboration with Prof. Dan Roth, Prof. Vivek Gupta, and Adobe Research. Co-authored a paper as the first author, accepted at EMNLP 2024. Other papers currently under review.
  • 2023.08 - Present
    Undergraduate Researcher
    IIIT Hyderabad
    Currently working on my master's thesis advised by Professor Manish Shrivastava. Also working with Professor Ponnurangam Kumaraguru on building more interpretable models. In the past, I've worked with professor Karthik Vaidyanathan on obtaining descriptions of code snippets.
  • 2023.05 - 2023.07
    Step Intern
    Google
    Worked in the GCS Metering team to implement integrity checks on the usage records generated by the team in order to ensure that the data is valid before being sent for billing.

Education

  • 2021.01 - 2026.01

    Hyderabad, India

    MS
    International Institute of Information Technology Hyderabad
    Computational Linguistics
  • 2021.01 - 2026.01

    Hyderabad, India

    BTech
    International Institute of Information Technology Hyderabad
    Computer Science
  • 2006.01 - 2021.01

    Kolkata, India

    Vivekananda Mission School
    PCM + Computer Science

Awards

Publications

Skills

Programming
Python
C++
C
Java
Racket
Javascript
MySQL
BASH
Frameworks and Libraries
PyTorch
TensorFlow
HuggingFace
OpenCV
Scikit-Learn
NLTK
Node.JS
ReactJS
Django
Flask
Soft Skills
Leadership
Time Management
Organisation
Public Speaking

Projects

  • 2024.09 - 2024.09
    Product Attribute Detection
    Implemented a novel technique for recognizing product attributes from images by fine-tuning Florence-2-base using negative sampling. Team placed 14th in the Amazon ML challenge out of 70000+ participants.
  • 2023.08 - 2023.11
    Exploring Answer Sentence Selection
    Implemented methods for selecting the best answer sentence among possible candidates using Neural Networks and Transformers.
  • 2024.02 - 2024.05
    Nanopass Compiler
    Designed a nanopass compiler from scratch in racket, for racket. The compiler could handle variables, loops, tuples and functions.
  • 2024.08 - 2023.11
    Network File System
    Built a Network File System prototype allowing basic storage facilities along with concurrent client connections and multiple storage servers.