CV

Vaibhav Rathore

vaibhav.rathor.in@gmail.com
Mumbai, IN

Summary

Senior AI Data Scientist at MOFSL and Ph.D. Scholar at CSRE, IIT Bombay; M.S. by Research alumnus of C-MInDS, IIT Bombay.

Education

  • Centre of Studies in Resources Engineering (CSRE)
    Present
    IIT Bombay
    GPA: 9.00
    Courses: Optimization in Machine Learning, Principles of Satellite Image Processing, Seminar
  • Artificial Intelligence and Data Science
    2025
    C-MInDS, IIT Bombay
    GPA: 9.31
    Courses: Foundations of Machine Learning, Advanced Topics in Deep Learning, Medical Image Computing, Algorithms and Complexity, Machine Learning for Remote Sensing II, Statistical Signal Analysis, Image Processing, Optimisation
  • Mechanical Engineering
    2022
    MNNIT Allahabad
    GPA: 9.10
  • Science (PCM) and Languages
    2017
    De Paul School
    GPA: 98.00%
  • Science (PCM) and Languages
    2015
    De Paul School
    GPA: 93.80%

Work Experience

  • Senior AI Data Scientist
    2025-11 - Present
    Motilal Oswal Financial Services Ltd. (MOFSL)
    AI Research Team; time-series and tabular foundation models for financial data, India-focused AI, Indic TTS/ASR tokenization, lip-sync systems, and research for top-tier venues. Public details are intentionally high-level because the work is proprietary.
  • Research Intern
    2025-09 - 2025-10
    Motilal Oswal Financial Services Ltd. (MOFSL)
    Evaluated lip-sync and Gaussian-Splatting approaches for synchronization and 3D avatars.
  • Research Intern
    2025-05 - 2025-07
    Sony Research India
    3D lip synchronization using Gaussian Splatting and controllable 3D avatars.
  • Research Intern, Vehant Fellow Track
    2025-09 - 2025-11
    Vehant Technologies
    Pedestrian Attribute Recognition using hyperbolic, graph-based, correlation-aware, and vision-language methods.
  • Research & Development Intern
    2024-05 - 2024-07
    Clinical AI Assistance
    LoRA fine-tuning and multimodal medical question answering.
  • Graduate Engineer Trainee
    2022-08 - 2023-07
    Reliance Industries Ltd.
    Predictive maintenance and operational analytics.

Skills

AI and Machine Learning

  • Python
  • PyTorch
  • Computer Vision
  • Indic NLP
  • Gaussian Splatting
  • Financial Time Series

Publications

  • SuTRA: Structurally-Unified Tokenization with Root Awareness
    2026
    Interspeech 2026
    Accepted. Code: https://github.com/MO-AI-Research/SUTRA; project: https://mo-vaibhavr-43300.github.io/SuTRA/.
  • M³ QuestionIng: Multi-modal Multi-span Medical Question Answering
    2026
    ACM Transactions on Computing for Healthcare
    Accepted; code and dataset at https://github.com/anisha0325/M3QA.
  • HiDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery
    2025
    NeurIPS 2025
  • When Domain Generalization Meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach
    2025
  • FOCUS: Bridging Fine-Grained Recognition and Open-World Discovery across Domains
    2026
    Under Review at WACV 2027

Teaching

  • DS 303: Introduction to Machine Learning; e-PGD: Introduction to Python Programming
    2024
    IIT Bombay
    Role: Teaching Assistant

Interests

  • Research
    Domain Generalization, Generalized Category Discovery, Fine-Grained Recognition, Open-World Learning, Representation Learning