Ajay Balasubramaniam

Deep Learning Engineer at NavInfo Europe B.V.
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Contact Information
us****@****om
(386) 825-5501
Location
Eindhoven, North Brabant, Netherlands, NL
Languages
  • Tamil Native or bilingual proficiency
  • English Full professional proficiency
  • Japanese Elementary proficiency
  • Dutch Elementary proficiency

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Credentials

  • Machine Learning
    Coursera
    Jun, 2016
    - Nov, 2024
  • DAT208x: Introduction to Python for Data Science
    edX
    Feb, 2016
    - Nov, 2024
  • Diploma in Embedded System Design (DESD)
    TCIL
    Jan, 2012
    - Nov, 2024

Experience

  • NavInfo Europe B.V.
    • Netherlands
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Deep Learning Engineer
      • Jun 2020 - Present

      Real-time deployment of State-of-the-art deep learning solutions Worked on several challenging computer vision topics from understanding new research till deployment and maintenance. * Classification * Object detection * Semantic segmentation * Multi-task models * Online continual learning * Multi-modal LLMs Deployment on: + NVIDIA desktops, servers + AWS EC2 + NVIDIA edge devices + Android mobile phones Real-time deployment of State-of-the-art deep learning solutions Worked on several challenging computer vision topics from understanding new research till deployment and maintenance. * Classification * Object detection * Semantic segmentation * Multi-task models * Online continual learning * Multi-modal LLMs Deployment on: + NVIDIA desktops, servers + AWS EC2 + NVIDIA edge devices + Android mobile phones

  • Thermo Fisher Scientific
    • United States
    • Biotechnology Research
    • 700 & Above Employee
    • Deep Learning Researcher
      • Feb 2019 - Feb 2020

      Under 60 seconds semantic segmentation training!! Smart-microscopes: Deep learning based semantic segmentation on life-science tomograms. Ultra fast training. Human-in-the-loop active learning paradigm to label whole 3D tomograms in minutes which otherwise take hours to days to complete. Under 60 seconds semantic segmentation training!! Smart-microscopes: Deep learning based semantic segmentation on life-science tomograms. Ultra fast training. Human-in-the-loop active learning paradigm to label whole 3D tomograms in minutes which otherwise take hours to days to complete.

Education

  • Eindhoven University of Technology
    Master's degree, Embedded Systems
    2017 - 2019
  • SRM University
    Bachelor of Technology - BTech, Computer Science
    2013 - 2017

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