Shivashish Jaishy

ML Engineer at Galileo Co., Ltd. 株式会社ガリレオ
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Contact Information
us****@****om
(386) 825-5501
Languages
  • English Native or bilingual proficiency
  • Hindi Native or bilingual proficiency
  • Japanese Professional working proficiency
  • Nepali Native or bilingual proficiency

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Bio

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Experience

    • Japan
    • Staffing and Recruiting
    • 1 - 100 Employee
    • ML Engineer
      • Jun 2022 - Present

    • Machine Learning Researcher
      • Apr 2021 - Jul 2022

      I create automated trading robots and financial market indicators that automatically trade on Meta Trader platforms, using MQL4 and MQL5 programming languages. Using machine learning algorithms and technical indicators, the robots can trade automatically in the FOREX markets. I create automated trading robots and financial market indicators that automatically trade on Meta Trader platforms, using MQL4 and MQL5 programming languages. Using machine learning algorithms and technical indicators, the robots can trade automatically in the FOREX markets.

    • Artificial Intelligence Researcher
      • Apr 2018 - Mar 2021

      - As per the projects’ demand, creating synthetic training datasets for the machine learning models, using advanced tools like Blender and Unreal Engine.- Creating new data instances using Generative Adversarial Networks (GANs).- Detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos using Object Detection techniques.- End-to-end development of an anomaly detection system for manufactured product monitoring for a top tier automotive company.- Trained faster CNN neural network models in PyTorch and TensorFlow to improve object detection accuracy on larger images with 100+ objects by 20%.- Built unsupervised learning into the application via clustering to detect patterns across claims and find outliers.- Retrieving a person of interest across multiple non-overlapping cameras using Person Re-identification models.- Image Classification and Segmentation using deep learning architectures like Convolution Neural Networks (CNN).- Research related to model compression (by 70%) and acceleration (by 200%) in deep neural networks without significantly decreasing the model performance.

Education

  • Aichi Institute of Technology
    Master's degree, Information Technology
    2015 - 2018
  • University of Mysore
    Bachelor's degree, Computer Science
    2010 - 2013

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