Karan Dwivedi

Co-Founder at Basil
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Contact Information
us****@****om
(386) 825-5501
Location
New Delhi, Delhi, India, IN

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Experience

    • India
    • Food and Beverage Services
    • 1 - 100 Employee
    • Co-Founder
      • Apr 2020 - Present

      Delhi, India Basil brings healthy, tasty meals to a consumer's plate at a pocket-friendly price. Meals are fresh, balanced in nutrition, and personalized to customer's health requirements, with some unique tastes.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Post Bacc Fellow
      • Mar 2018 - Jul 2018

      Boston, Massachusetts, United States Meta-learning in Deep Convolutional Neural Networks - Worked on Neural Architecture Search and Metamodelling in deep computer vision. - Worked on developing deep neural networks robust to adversarial attacks for image classification.

    • United States
    • Medical Device
    • 200 - 300 Employee
    • Research Intern
      • May 2017 - Jul 2017

      Mumbai, Maharashtra, India Attention Models for High-resolution Chest XRay Diagnosis - Developed attention models inspired by early spatial attention in the human visual system, so as to achieve interpretable results and be able to process high-resolution images without losing important information. - Combined spatial attention model with object-level attention to model the feedback connections in the human visual system. - Improved on the baseline methods from 76% to 82% binary classification accuracy for… Show more Attention Models for High-resolution Chest XRay Diagnosis - Developed attention models inspired by early spatial attention in the human visual system, so as to achieve interpretable results and be able to process high-resolution images without losing important information. - Combined spatial attention model with object-level attention to model the feedback connections in the human visual system. - Improved on the baseline methods from 76% to 82% binary classification accuracy for cardiomegaly detection on a private dataset using only spatial attention. Show less

    • France
    • Higher Education
    • 200 - 300 Employee
    • Research Intern
      • Jun 2016 - Nov 2016

      Paris, Île-de-France, France Instance Matching and Object Discovery in Artwork - Discovered single-view instance matches for small objects (e.g. huts, boats) using Fast-RCNN in an unannotated dataset of artworks from Jan Brueghel's workshop. Studied the effect of network architecture, scaling, bounding box proposal algorithms, and preprocessing on matching quality. - Applied adversarial learning with synthetic artistic styles to generate style-invariant features for matching artworks across different styles… Show more Instance Matching and Object Discovery in Artwork - Discovered single-view instance matches for small objects (e.g. huts, boats) using Fast-RCNN in an unannotated dataset of artworks from Jan Brueghel's workshop. Studied the effect of network architecture, scaling, bounding box proposal algorithms, and preprocessing on matching quality. - Applied adversarial learning with synthetic artistic styles to generate style-invariant features for matching artworks across different styles. - Combined adversarial training with multi-task training in a hybrid CNN architecture to obtain more robust feature representations. - Achieved state of the art on Artist, Genre, and Style classification on Wikipaintings and Rijksmuseum datasets using CNNs trained for content and style multi-task learning. Show less

    • India
    • Aviation and Aerospace Component Manufacturing
    • 1 - 100 Employee
    • Engineer Intern
      • Dec 2015 - Jan 2016

      New Delhi, Delhi, India - Created an aerial mapping software for Unmanned Aerial Vehicles using OpenCV in Python, with video mosaicing, deblurring and image super-resolution. - Implemented superior real time video stabilization by improving Youtube's video stabilization algorithm.

Education

  • Indian Institute of Technology, Delhi
    Bachelor of Technology, Computer Science and Engineering
    2014 - 2019

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