Tarun Krishna

Tarun Krishna

Summer Research Intern

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location of Tarun KrishnaDublin, County Dublin, Ireland

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  • Timeline

  • About me

    PhD, AI/ML Researcher

  • Education

    • University of Amsterdam

      2017 - 2019
      Master's degree Artificial Intelligence

      Relevant Coursework: - Probabilistic Graphical Models - Deep Learning - Computer Vision - Unsupervised Language Learning - Natural Language Processing - Reinforcement Learning - Information Retrieval

    • Dublin City University

      2020 - 2024
      Doctor of Philosophy - PhD Machine Learning, Computer Vision, Deep Learning
    • The LNM Institute of Information Technology

      2011 - 2015
      Electronics and Communications Engineering
  • Experience

    • Charles Darwin University

      May 2014 - Jul 2014
      Summer Research Intern

      I was effectively involved in the design of Wireless Network based on Software Defined Radio Technology. I was successful in implementing a test-bed system for error protection of Wireless Video Transmission systems.

    • Staqu Technologies

      Aug 2015 - Apr 2017
      Machine Learning Research Engineer

      Designed an AI Stack to create additional avenues for product discovery in the fashion domain.Articulated an automated meta-tag generation engine for fashion categories that ran with deep features to support a deep feature-based image retrieval system. Along with that, based on deep features crafted an engine to detect style from fashion products and automatically suggest recommendations to users based on their choice of product.

    • Aiir Innovations

      Jun 2018 - Aug 2018
      Research Intern

      Devised an automated system to count the number of blades in jet engines.

    • Qualcomm-UvA Deep Vision Lab

      Jan 2019 - Aug 2019
      Machine Learning Research Intern

      Master Thesis: Learning to Rotate, Scale, and Shift Visual Objects via Disentanglement.

    • Insight Centre for Data Analytics

      Feb 2020 - Aug 2024
      PHD Researcher

      Title: Towards an Efficient Synergistic Paradigm for Self-supervised Visual Representation Learning.

    • Xperi Inc.

      Nov 2021 - Nov 2023
      AI Researcher

      As a part of Industrial collaboration, I am spending half of my PhD time at Xperi (FotoNation). Designed and implemented an efficient inference method realized via conditional computation in conjunction with self-supervised learning. This work was accepted in BMVC 2023.

    • Analog Devices

      Feb 2025 - now
      Senior AI Engineer
  • Licenses & Certifications

    • Regularization Methods for Machine Learning

      MaLGa - Machine Learning Genoa Center
      Jun 2021
    • Mediterranean Machine Learning School

      ACT - American College of Thessaloniki
      Sept 2023