David Francis

Engineer at Hill Technical Solutions
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Contact Information
us****@****om
(386) 825-5501
Location
Madison, Alabama, United States, US
Skills

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Bio

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Credentials

  • Deep Learning
    Coursera
    Mar, 2018
    - Oct, 2024
  • Sequence Models
    Coursera
    Mar, 2018
    - Oct, 2024
  • Convolutional Neural Networks
    Coursera
    Dec, 2017
    - Oct, 2024
  • Structuring Machine Learning Projects
    Coursera
    Oct, 2017
    - Oct, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Oct, 2017
    - Oct, 2024
  • Neural Networks and Deep Learning
    Coursera
    Oct, 2017
    - Oct, 2024

Experience

  • Hill Technical Solutions
    • United States
    • Defense and Space Manufacturing
    • 1 - 100 Employee
    • Engineer
      • Nov 2022 - Present

  • Leidos
    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Robotics Navigation Engineer
      • Jun 2018 - Oct 2022

  • Center for Advanced Vehicular Systems
    • United States
    • Research Services
    • 1 - 100 Employee
    • Postdoctoral Researcher
      • Oct 2014 - Jun 2018

      Most of my funding is related to finite element simulations or data analysis, but all of my contributions would be considered in the solid mechanics and material science arena. From defense contracts, to commercial seating productions and custom car subframes, anything structural has a breaking point. My job is usually to (computationally) find out when and why that happens. As structural materials behave in a repeatable/predictable pattern, physics-based have historically proven a helpful tool for finite element analyses. With the recent growth of machine learning, the ability for for a computer to recognize material behavior using generic non-linear algorithms has immediate benefits.

  • Predictive Design Technologies
    • Research Engineer
      • May 2013 - Sep 2014

  • Center for Advanced Vehicular Systems
    • Undergrad Worker
      • May 2008 - May 2009

  • Diversified Technology
    • United States
    • Computer Hardware Manufacturing
    • 1 - 100 Employee
    • Mechanical Engineer, Co-op
      • May 2006 - Dec 2007

Education

  • Mississippi State University
    Doctor of Philosophy (PhD), Mechanical Engineering
    2009 - 2013
  • Mississippi State University
    BS, Mechanical Engineering
    2004 - 2009

Community

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