Gopi Kishan

Gopi Kishan

Intern

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location of Gopi KishanUttarakhand, India

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  • Timeline

  • About me

    ML Engineer @ICN | CSE@IITR'21

  • Education

    • Mila - Quebec Artificial Intelligence Institute

      2020 - 2020
      DLRL Summer School

      Activities and Societies: CIFAR, Vector Institute, Amii Lecture series on advanced topics in Deep Learning & Reinforcement Learning. Got opportunity to virtually meet some great minds including Yoshua Bengio.

    • Indian Institute of Technology, Roorkee

      2017 - 2021
      Bachelor of Technology - BTech Computer Science 9.226/10
  • Experience

    • Indian Institute of Technology, Bombay

      Jun 2018 - Jul 2018
      Intern

      I worked on the object detection algorithm, mainly reading the research papers of RCNN, Fast-RCNN, Faster-RCNN and YOLO. I, then built a face detection model using VGG16 in TensorFlow.

    • Artificial Intelligence and Electronics Society (ArIES)

      Oct 2018 - Apr 2020
      Project Mentor

      I worked on robustness against Adversarial Attacks. Most Deep learning models are vulnerable to strategically modified samples for a false output with high confidence. I have studied and surveyed various attacks and defence mechanisms with a particular interest in vision models.I have also competed in the Inter-IIT Data Science challenge 2019.Alongside, I have mentored the project "Translational Tools" for SHRISHTI, an Annual Technical Exhibition of IIT Roorkee.

    • Indian Institute of Science (IISc)

      May 2019 - Jul 2019
      Intern

      I worked on compression techniques for reducing the size of the deep neural networks. I studied and explored various methods including ​ parameter pruning, weight matrix factorisation, quantisation and knowledge distillation. The compression task was focused on Generative models which inspired me for in-depth knowledge of Variational Autoencoders and GANs.

    • ACM Student Chapter IIT Roorkee

      Jul 2019 - Mar 2020
      Moderator

      We organization open discussion on Linux and OS, and mentor projects for campus students.

    • Max Planck Institutes Tübingen

      May 2020 - Dec 2020
      Research Intern

      I have developed a physics simulator for microrobotic swarms. For navigation, I applied Deep RL and Imitation learning methods for training agents.

    • The University of British Columbia

      May 2020 - Sept 2020
      Visting URA

      Safety properties of a neural network are critical to their application in safety-critical domains. Motivated by this, I worked on verification methods of Deep Learning systems to build safe AI. I have proposed two metrics for probabilistic error quantification of the model hypothesis in my paper titled "Probabilistic Robustness Quantification of Neural Networks" accepted at AAAI-21 Undergraduate Consortium.

    • York University

      Jul 2020 - Jul 2020
      CVR-VISTA summer school Attendee

      Awesome talks, lab session and industrial seminars on vision science.

    • Google India

      Aug 2020 - Aug 2020
      Google AI Summer School

      Got selected in highly competitive summer school. Looking forward to connect and learn some excellent brains at Google AI and DeepMind.

    • SAP Labs India

      Jul 2021 - now
      • Machine Learning Engineer

        May 2022 - now
      • Associate Software Developer

        Jul 2021 - Apr 2022
  • Licenses & Certifications

  • Volunteer Experience

    • Volunteer

      Issued by ICML on Jul 2020
      ICMLAssociated with Gopi Kishan