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Praveen
Machine learning Engineer
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Praveen

Machine learning Engineer
Passionate to work in a firm where I can utilize and apply my knowledge on which would enable me as a person to grow while fulfilling organization goals. I have a lot of determination in my goals and among them are acquiring greater professional knowledge, learning from a team of professionals and being able to pass on that knowledge acquired further when necessary.
neurelli
National Taipei University of Technology
New Taipei City, 台灣

Professional Background

  • Current status
  • Profession
    Software Engineer
  • Fields
    Software
  • Work experience
    1-2 years (2-4 years relevant)
  • Management
    I've had experience in managing 1-5 people
  • Skills
    Machine Learning Algorithms
    Deep Learning Algorithms
    Tensorflow (Keras)
    PyTorch
    Medical Image Processing
    Kubernetes/Docker
    Kubeflow
  • Languages
    English
    Professional
    Chinese
    Beginner
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Full-time
    Interested in working remotely
  • Desired positions
    Graduate Research Assistant
  • Desired work locations
  • Freelance
    Non-freelancer

Work Experience

Software Engineer

Aug 2020 - Present
Working as a Machine learning engineer and developing optimized AI models such as boosted trees, object detection models(YOLO, and MaskRCNN), and GANs that help in smart manufacturing and deploying models into production using Dockers and Kubernetes.

Graduate Research Assistant

Feb 2018 - Jul 2020
2 yrs 6 mos
I worked as a research assistant under the guidance of Prof. Yang Lang Chang, chairman of EE, NTUT I have done deep learning projects, doing High-performance computing project and working on some journals related to deep learning. I published two journal papers and three conference papers under his guidance.

Education

Master of Science (MS)
Electrical Engineering and Computer Science
2018 - 2020
Bachelor of Science (BS)
Electronics and Communication Engineering
2014 - 2018