CV

Basics

Name Gunjan Dhanuka
Label AI Research Scientist
Email gdhanuka192@gmail.com
Url https://gunjandhanuka.github.io
Summary AI Research Scientist at Mistral AI, working on multimodal models for document understanding, computer use, and everyday tasks.

Work

  • 2026.02 - Present

    Palo Alto, CA

    AI Research Scientist
    Mistral AI
    Researching multimodal models for document understanding and computer use.
    • Core team member behind Mistral OCR 4 and OCR 4.1, state-of-the-art OCR models for document intelligence.
    • Working on OCR and document-understanding models.
    • Working on computer-use capabilities.
  • 2025.05 - 2025.08

    Cupertino, CA

    Machine Learning Engineer Intern
    Apple
    Worked with multimodal LLM agents for automated data analysis.
  • 2025.01 - 2025.12

    Pittsburgh, PA

    Graduate Teaching Assistant
    Machine Learning Department, Carnegie Mellon University
    Teaching assistant for ML with Large Datasets.
  • 2025.01 - 2026.01

    Pittsburgh, PA

    Graduate Student Researcher
    Machine Learning Department, Carnegie Mellon University
    Advised by Zico Kolter and Pratyush Maini on compression-based methods for LLMs and memorization in diffusion models.
    • Collaborated with OpenAI on compression-based methods for LLMs.
    • Proposed a compression-based definition of memorization in diffusion models; accepted to the ICML MemFM Workshop 2025 and submitted to NeurIPS 2025.
  • 2024.12 - 2025.05

    Pittsburgh, PA

    Graduate Student Researcher
    Robotics Institute, Carnegie Mellon University
    Researched unsupervised, customizable model debiasing using meta-learning with Fernando de la Torre and Shayok Chakraborty.
    • Submitted the work to NeurIPS 2025.
  • 2023.05 - 2023.07

    Bengaluru, India

    Software Engineer Intern
    Rubrik
    Worked on horizontal scaling for on-premises systems.
    • Devised a leader-worker architecture that improved core-service performance by 5x.
    • Developed a Go and Kubernetes CLI for adding and removing cluster nodes without downtime.
  • 2022.05 - 2024.01

    Pittsburgh, PA

    Research Intern
    Carnegie Mellon University
    Worked on weakly supervised video anomaly detection.
    • Outperformed prior results on XD-Violence, UCF-Crime, and ShanghaiTech; accepted to WACV 2025.
  • 2021.11 - 2022.05

    Remote

    Research Intern
    UNSW
    Modelled SARS-CoV-2 spike-protein mutation tendencies with graph-theoretic methods in collaboration with CSIRO Australia.

Education

  • 2024.08 - 2025.12

    Pittsburgh, PA, USA

    Master of Science
    Carnegie Mellon University
    Computer Science
    • Machine Learning
    • ML Systems
    • Distributed Systems
  • 2020.11 - 2024.05

    Assam, India

    Bachelor of Technology
    Indian Institute of Technology, Guwahati
    Computer Science and Engineering; minor in Robotics and Artificial Intelligence
    • Computer Systems
    • Machine Learning
    • Parallel Algorithms
    • Computer Networks