Ravish Kumar

Deep Learning Engineer at Deeplite
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Contact Information
us****@****om
(386) 825-5501
Location
Pune, Maharashtra, India, IN

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LinkedIn User

I was privileged to work with Ravish right from his internship days and have seen him growing as a technology leader in algorithms and programming. He is one of the rare talents in algorithms and programming who understands what, why, how and applicability of them very fast and very accurate. As a human being he is very humble and always ready to support anyone. I wish him great success in his career.

Keshav Bagri

I have had the fortunate opportunity to work with and learn from Ravish during my summer internship at KPIT Technologies. I can confidently vouch for his dedication and expertise when it comes to machine learning and problem solving in general. While he has a sharp engineering mind and sincerity, he isn't lacking in the direction of taking initiatives. His willingness to help others with a humble mindset, is something I look forward to inculcating in my personality. There are very few individuals I would vouch for and he is one of them. I am extremely thankful to him and I wish him nothing but the best.

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Credentials

  • Deep Learning Specialization
    Coursera
    Aug, 2019
    - Nov, 2024
  • Sequence Models
    Coursera
    Aug, 2019
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Aug, 2018
    - Nov, 2024
  • Algorithmic Toolbox
    Coursera
    Sep, 2017
    - Nov, 2024
  • Machine Learning
    Coursera
    May, 2017
    - Nov, 2024
  • Tech-Fest Certificate of excellence
    Techfest, IIT Bombay
    Dec, 2016
    - Nov, 2024
  • SCIENCE AND TECHNOLOGY COUNCIL
    Indian Institute of Technology, Kanpur
    Jul, 2016
    - Nov, 2024
  • Certificate of Appreciation
    Counselling service IIT Kanpur
    Jun, 2015
    - Nov, 2024
  • Academic Excellence Certificate
    Government of India
    Jan, 2012
    - Nov, 2024
  • Hindustan Pratibha Samman
    Hindustan Press
    Jul, 2011
    - Nov, 2024
  • Collage Bonafide certifiacte
    Antaragni IIT Kanpur

Experience

    • Canada
    • Software Development
    • 1 - 100 Employee
    • Deep Learning Engineer
      • Feb 2022 - Present

      ► Maintaining Open-source Pytorch-based deeplite-torch-zoo: https://github.com/Deeplite/deeplite-torch-zoo ► Hardware-aware Neural Architecture Search. ► Custom model architecture for Object detection. ► Maintaining Open-source Pytorch-based deeplite-torch-zoo: https://github.com/Deeplite/deeplite-torch-zoo ► Hardware-aware Neural Architecture Search. ► Custom model architecture for Object detection.

    • India
    • Education
    • 1 - 100 Employee
    • Curriculum Specialist
      • Feb 2020 - Present

    • India
    • Software Development
    • 700 & Above Employee
    • Technical Lead
      • Oct 2021 - Jan 2022

      ► NLP: Automate the INCOSE rule violation detection process in textual requirements provided by various customers. ► Backend: Successful integration of python backend with the requirement analyzer tool.

    • Software Engineer
      • Jun 2018 - Oct 2021

      ► Successfully developed the deep-learning model to predict the State of Health (SoH) and Remaining Useful Life (RUL) of Lithium-ion Batteries used in electric and hybrid vehicles. Achieved testing accuracy of 99.2% on unseen data. (Publication work is underway)► Successfully developed the deep-learning model to predict the State of Charge (SoC) of Lithium-ion batteries used in electric and hybrid vehicles. Achieved testing accuracy of 97.6% on completely unseen data. (Publication work is underway)► Evaluated AI-based startups who participated in the National Level KPIT Sparkle Event.► Automated the process of data generation by integrating the deep-learning-based object-detection model with the virtual simulator. Show less

    • India
    • Software Development
    • 700 & Above Employee
    • Software Engineer
      • May 2017 - Jul 2017

      ► Successfully designed and implemented the classification as well as regression algorithms in MATLAB and Python framework respectively using CNN layers and Image processing techniques. ► Used Udacity Simulator to generate training data and integrated the developed model with virtual simulator for real time performance. ► Achieved 91.4% accuracy in Matlab code with SGDM as optimizer and deviation within a range of -5-to-+5 degree from the actual steering angle in Python code with ADAM as optimizer tested on 11K image dataset. Show less

Education

  • Indian Institute of Technology, Kanpur
    Bachelor of Engineering (B.Eng.), Electrical and Electronics Engineering
    2014 - 2018
  • Super 30
    Mathematics and Science
    2013 - 2014
  • S.R.D.A.V. Public School Purnea
    12th Intermediate, Science
    2011 - 2013
  • Saraswati Vidya Mandir Purnea
    10th, Matriculation
    2002 - 2011

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