Experience

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  Microsoft

  • Bengaluru, Karnataka, India

  • Research Intern (Microsoft Research India, Healthcare)

    • Apr 2024 - Present
    • Bengaluru, Karnataka, India

    I work in the intersection of healthcare and machine learning, with a focus on multi-modality, large vision-language models, dialogue systems and real-world translation of AI-enabled solutions in clinical settings with Dr Mohit Jain at the Technology and Empowerment group.

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  Center for Visual Information Technology, IIIT Hyderabad

  • India
  • Research Services
  • 1 - 100 Employee

  • Graduate Research Assistant (Computer Vision)

    • May 2022 - Apr 2024

    Below are some of the key projects that I have worked with Professor Jayanthi Sivaswamy, Raj Reddy Chair Professor and Former Dean (Academics) at IIIT Hyderabad.1. I led the development of a multi-level transformer framework for differential diagnosis of malignant melanoma from dermoscopic images that holistically integrates the patient context and evidence, including the lesion context with location and metadata improves specificity by 17.15% and 7.14%, respectively, while enhancing balanced accuracy (MICCAI ISIC 2023). 2. I worked on utilizing an anatomy-guided graph transformer framework of chest radiographs to learn better global-local representations for case-based image retrieval, mimicking a radiologists' systematic approach to reading scans, and outperforming global and local SoTA approaches by 18% to 26% in retrieval accuracy and 11% to 23% in ranking quality (MICCAI 2024).3. I worked on building a novel, multimodal, two-stage approach for pneumothorax segmentation from chest radiographs utilizing free-text radiology reports, showing that incorporating reports reduces falsepositive predictions significantly, and the DAFT-based fusion of localization maps improves positive cases (IEEE ISBI 2024). 4. I contributed to developing an interactive, low-cost, 3D stereoscopic visualization tool at a classroom scale for undergraduate anatomy education, which is currently deployed for a field test at three medical schools (IEEE TLT 2024, under review).

  • Undergraduate Part-time Research Student

    • May 2020 - Apr 2022

    I worked with Prof. Jayanthi Sivaswamy, Dean (Academics) IIIT Hyderabad, and the Medical Computer Vision Group on:- modelling lung graphs for interstitial lung disease prognosis in chest HRCTs, - mitigating size bias in the segmentation of subcortical structures in brain MRIs (IEEE ISBI 2022) and - utilizing spatial priors in computational anatomy for abdomen multi-organ segmentation (ICPR 2024, under review).

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  INAI, IIIT Hyderabad

  • Hyderabad, Telangana, India

  • Senior Research Fellow (Healthcare, INAI - Intel Labs)

    • Sep 2023 - Mar 2024
    • Hyderabad, Telangana, India

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  International Institute of Information Technology

  • Hyderabad, Telangana, India

  • Head Teaching Assistant (Medical Image Analysis)

    • Jan 2023 - May 2023
    • Hyderabad, Telangana, India

    I co-assist a graduate-level research-based course on medical image computing focusing on advanced topics in 2D and 3D medical image reconstruction, segmentation, conditioning, and registration through classical and state-of-the-art deep learning techniques. EC5.405 Medical Image Analysis is instructed by Professor Jayanthi Sivaswamy in the Spring 2023 semester.

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  International Institute of Information Technology

  • India
  • Higher Education
  • 700 & Above Employee

  • Head Teaching Assistant (Computer Vision)

    • Jan 2022 - Jun 2022

    I co-assist a graduate-level computer vision course (CS7.505) in the Spring 2022 semester with over 150 students instructed by Professor Anoop Namboodiri and Professor Sudipta Banerjee. I mentor 32 students for the course project focussing on cutting edge advances in computer vision.

  • Head Teaching Assistant (Algorithms and Operating Systems)

    • Aug 2021 - Dec 2021

    I co-instruct a class of 75 students and design assignments, exam papers and course projects for CS3.306 Algorithms and Operating Systems taught by Professor Lini Thomas.

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  UCL

  • United Kingdom

  • Summer Project Student

    • May 2022 - May 2022
    • United Kingdom

    I was selected as a MediCSS 2022 delegate and advised by Prof. Evangelos Mazomenos, University College London. Developed a surgical robotics gesture recognition system using a Video Swin Transformer and benchmarked it on the JIGSAWS dataset.

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  Matchday Ai

  • Hyderabad, Telangana, India

  • Computer Vision Research Intern

    • May 2021 - Jul 2021
    • Hyderabad, Telangana, India

    I developed deep learning-based vision software tools for automated football field registration in sports broadcast videos. I implemented an edge-map segmentation algorithm, a player detection pipeline and a dictionary-based homography estimation framework which is further refined by an optimization-based deep network.

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  University of California, San Francisco

  • San Francisco Bay Area

  • Research Intern (Rescinded)

    • May 2021 - May 2021
    • San Francisco Bay Area

    I was selected to work at the Center for Intelligent Imaging, UCSF School of Medicine on deep learning in medical imaging. The offer was rescinded due to study visa restrictions for international students and the COVID-19 pandemic.

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  International Institute of Information Technology Hyderabad (IIITH)

  • Hyderabad, Telangana, India

  • Undergraduate Research Intern, Perception Engineering Group

    • Dec 2019 - Mar 2020
    • Hyderabad, Telangana, India

    I worked with Prof. Kavita Vemuri on low-cost virtual reality-based eye-tracking prediction tools for the early detection of neurodegenerative diseases. Designed experiments, and used FOVE-VR eye-tracker to collect data from healthy subjects as controls to validate the effectiveness. The study was paused due to COVID-19 pandemic restrictions.

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  International Institute of Information Technology Hyderabad (IIITH)

  • Hyderabad, Telangana, India

  • Undergraduate Research Intern, Serious Gaming Group

    • Oct 2018 - Dec 2018
    • Hyderabad, Telangana, India

    I worked with Prof. Kavita Vemuri on 3D modelling of spine kinematics using motion capture for neuro-rehabilitation. I created and manually annotated a spine motion data set captured using the MoCap system on a physically fit population for several exercises which can be used for building VR games for stroke patients.