Manickavela A

Software Engineer at MulticoreWare Inc
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Contact Information
us****@****om
(386) 825-5501
Location
Chennai, Tamil Nadu, India, IN
Languages
  • Tamil -
  • English -
  • Hindi Elementary proficiency

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Bio

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Credentials

  • Deep Learning Specialization
    deeplearning.ai
    Aug, 2020
    - Nov, 2024
  • Sequence Models
    deeplearning.ai
    Aug, 2020
    - Nov, 2024
  • Cloud Core
    IBM
    Jul, 2020
    - Nov, 2024
  • Convolutional Neural Networks
    deeplearning.ai
    Jul, 2020
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    deeplearning.ai
    Jul, 2020
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    deeplearning.ai
    Jul, 2020
    - Nov, 2024
  • Neural Networks and Deep Learning
    deeplearning.ai
    Jul, 2020
    - Nov, 2024
  • Structuring Machine Learning Projects
    deeplearning.ai
    Jul, 2020
    - Nov, 2024
  • Machine Learning A-Z : Hands-on in Python and R in Data Science
    Udemy
    Apr, 2020
    - Nov, 2024
  • Why the First Days at a New Job Matter
    LinkedIn
    May, 2019
    - Nov, 2024

Experience

  • MulticoreWare Inc
    • United States
    • Software Development
    • 300 - 400 Employee
    • Software Engineer
      • Mar 2022 - Present

  • Herald Logic Pvt Ltd
    • India
    • Software Development
    • 1 - 100 Employee
    • Associate Platform Engineer
      • Dec 2021 - Mar 2022

  • Sri Sathya Sai Institute of Higher Learning
    • India
    • Higher Education
    • 200 - 300 Employee
    • Research Intern
      • Jul 2021 - Dec 2021

      Segmentation of White Matter Hyperintensities from 2D/3D Neuro MRI images. Loading the data, tuning the models for best optimization, calculating the accuracy metrics with batch size. Used Neptune.ai to monitor and compare different model experiments with visualization and metrics. UNet architecture and its variant based on Attention. DICOM and NifTI formats, 3D Slicer, Pytorch, Neptune.ai. Segmentation of White Matter Hyperintensities from 2D/3D Neuro MRI images. Loading the data, tuning the models for best optimization, calculating the accuracy metrics with batch size. Used Neptune.ai to monitor and compare different model experiments with visualization and metrics. UNet architecture and its variant based on Attention. DICOM and NifTI formats, 3D Slicer, Pytorch, Neptune.ai.

  • IBM
    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • IBM Hackchallenge 2020
      • May 2020 - Jul 2020

      Led the Team to Build Recommender System on Node-Red Deployed a predictive model on IBM's Machine Learning Service Built pipeline with Openwhethermap's Api , model,cloudant database , nodered. Won Jury's Choice Award Led the Team to Build Recommender System on Node-Red Deployed a predictive model on IBM's Machine Learning Service Built pipeline with Openwhethermap's Api , model,cloudant database , nodered. Won Jury's Choice Award

Education

  • Sri Sathya Sai Institute of Higher Learning
    Master of Science, Data Science and Computing
    2019 - 2021
  • Sri Sathya Sai Institute of Higher Learning
    Bachelor's degree, Computer Science
    2016 - 2019
  • Kendriya Vidyalaya
    Mathematics and Computer Science
    2014 - 2016

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