Hello everyone, I am Saurabh!

Check out my blog posts about AI/Machine Learning ! Blog

I am an AI engineer and researcher with experience and interests in NLP, computer vision, and AI fairness. I have experience in integrating models into enterprise systems at Oracle and open source projects through Google Summer of Code.

Publications:
  • Diagnosing the Effects of Pre-training Data on Fine-tuning and Subgroup Robustness for Occupational NER in Clinical Notes. Spurious Correlation and Shortcut Learning Workshop @ ICLR 2025
  • Looking Beyond What You See: An empirical analysis on subgroup intersectional fairness for multi-label chest x-ray classification using social determinants of racial health inequities. Computer Vision for Automated Medical Diagnosis Workshop @ ICCV 2023
  • Few-shot learning Geometric ensemble for multilabel chest-Xrays. Data Augmentation, Labelling, and Imperfections Workshop @ MICCAI 2022
  • Consensus-Based Vertically Partitioned Multi-layer Perceptrons for Edge Computing, International Conference on Discovery Science, 2021

    • Timeline:


    2024: Working on AI @ Oracle Netsuite AI.


    2022: Working on Machine Learning / NLP problems at Oracle in AI Apps team.


    2021: I graduated with a Masters degree in Data Science and ML from University at Buffalo.


    In Summer 2020, I worked at IBM T.J Watson Research Center as a part of IBM Research's Internship programme. I was part of the AI Compute Group where I implemented novel and compact deep neural network algorithms and demonstrated improvements using purely Boolean Functions and added optimization schemes. We tested the performance increase on various datasets and probed implementations on embedded devices like FPGAs.

    Previously I have applied quantitative techniques like machine learning while working at leading payments firm Paytm till 2019.


    I contribute to open-source and have done so while being supported by Google during two Google Summer of Code projects in 2014 and 2016. AIM AIM
    I am also currently Top 2% in Kaggle ML Competitions. I spent a wonderful time while completing my Bachelor's in Electronics Engineering at BITS Pilani Goa Campus