Ziyang Z.

Machine Learning Research Scientist at Peraton Labs
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Contact Information
us****@****om
(386) 825-5501
Location
Washington, District of Columbia, United States, US

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Credentials

  • Triplebyte Certified
    Triplebyte
    Jan, 2023
    - Nov, 2024
  • AWS Machine Learning
    Udacity
    Aug, 2022
    - Nov, 2024
  • Machine Learning System Design
    Educative, Inc.
    Apr, 2022
    - Nov, 2024
  • JPMorgan Chase Software Engineering Virtual Experience
    Forage
    Sep, 2021
    - Nov, 2024

Experience

  • Peraton Labs
    • United States
    • Defense and Space Manufacturing
    • 300 - 400 Employee
    • Machine Learning Research Scientist
      • Feb 2023 - Present

      On device text steganography. On device text steganography.

  • Meta
    • United States
    • Software Development
    • 700 & Above Employee
    • Machine Learning Research Scientist
      • Dec 2022 - Dec 2022

      Offer revoked three weeks before start date. Offer revoked three weeks before start date.

  • University of Central Florida
    • United States
    • Higher Education
    • 700 & Above Employee
    • Machine Learning Research Assistant
      • Aug 2018 - Dec 2022

      • Published 13 research papers on top journals.• Proposed a transfer learning framework to simulate stress-strain curves of continuous fiber-reinforced composites. Designed experiments and conducted mechanical tests to collect and analyze data. Analyzed effects of structure parameters on the mechanical behavior to provide industry guidelines for designing fiber-reinforced composites.• Implemented times series forecasting techniques to predict melt pool temperature during DED with LSTM. Worked with a team of mechanical engineers to design experiments and collect temperature data from infrared systems. Achieved a 75% prediction accuracy. Identified the most important process parameters to impact melt pool temperature.• Designed an ensemble learning framework to predict flexural and tensile strength of 3D printed composites. Lead a team of undergraduates to design experiments, fabricate samples, conduct mechanical tests, and collect data. Quantified the importance of design parameters in deciding the mechanical behavior of 3D printed composites using XGBoost.• Mentored groups of undergraduates in EML4912 Directed Independent Research. Worked with them in the conceptualization, methodology, and validation processes of projects. Show less

    • Teaching Assistant
      • Jan 2020 - Apr 2021

      • Worked as the teaching assistant of EML4504 Machine Design II and EML4327 Digital Manufacturing.

  • Qorvo, Inc.
    • Semiconductor Manufacturing
    • 700 & Above Employee
    • Software Engineer Intern
      • Jan 2022 - May 2022

      Maintenance and development of DataViewer software that controls semiconductor manufacturing processes. Maintenance and development of DataViewer software that controls semiconductor manufacturing processes.

Education

  • University of Central Florida
    Doctor of Philosophy - PhD, Mechanical Engineering
  • Columbia University in the City of New York
    Master's degree, Electrical Engineering
  • Xi'an Jiaotong University
    Bachelor's degree, Electrical Engineering

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