Ryan Stanley

AI/ML Engineer at Corvid Technologies
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Location
Huntsville, US

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Experience

    • United States
    • Defense and Space Manufacturing
    • 100 - 200 Employee
    • AI/ML Engineer
      • Aug 2023 - Present

      Huntsville, Alabama, United States

    • United States
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Jul 2022 - Aug 2023

      Huntsville, Alabama, United States Architected and developed a deep reinforcement learning agent framework with control over a defensive directed energy weapon command and control system designed to autonomously discern, engage, and destroy incoming threats using Ray's RLLib and PyTorch.

    • Research Services
    • 100 - 200 Employee
    • Senior Research Engineer
      • May 2020 - Jul 2022

      Huntsville, Alabama, United States I have supported many projects under this position: -Designed and developed software systems to perform trajectory optimization of hypersonic threats and associated data collection and analysis using Python, Scipy, SQL -Developed a method for applying uncertainty quantification and uncertainty propagation techniques to neural networks for calculating probabilities of dynamical states of aeroelastic aircraft bodies. -I led the development of an onboard neural network-based… Show more I have supported many projects under this position: -Designed and developed software systems to perform trajectory optimization of hypersonic threats and associated data collection and analysis using Python, Scipy, SQL -Developed a method for applying uncertainty quantification and uncertainty propagation techniques to neural networks for calculating probabilities of dynamical states of aeroelastic aircraft bodies. -I led the development of an onboard neural network-based control system for a micro air vehicle focused on online learning and modeling for real-time monitoring, prognostics, and control for both nominal and off-nominal flight conditions using open source software frameworks. The system operated in a C++/Python ROS environment with the flight control unit running a custom build of the PX4 Autopilot flight software that communicated with an offboard computer. This system utilized a gradient-free, GPU-accelerated algorithm for model predictive control housed on an Nvidia Jetson NX SBC that enabled high-frequency (250+ Hz) control of the target system. -Led the research, development, testing, and deployment of an adaptive sampling algorithm that quantified and leveraged prediction uncertainties in neural network regression tasks implemented in PyTorch as module of a larger software toolkit for optimal wind tunnel experiment design planning. Show less

    • Defense and Space Manufacturing
    • 700 & Above Employee
    • Autonomous Systems Engineer
      • Aug 2018 - May 2020

      Huntsville, Alabama Area Researched applications of artificial intelligence systems to support crewed spaceflight mission operations systems under NASA's Advanced Explorations Systems division. I supported the NASA mission AMO EXPRESS 2.5 by developing flight software for automating command execution and monitoring health and status telemetry onboard the International Space Station for onboard experiments involving astronauts exploring enhanced spacecraft automation for deep space missions. I also independently… Show more Researched applications of artificial intelligence systems to support crewed spaceflight mission operations systems under NASA's Advanced Explorations Systems division. I supported the NASA mission AMO EXPRESS 2.5 by developing flight software for automating command execution and monitoring health and status telemetry onboard the International Space Station for onboard experiments involving astronauts exploring enhanced spacecraft automation for deep space missions. I also independently developed a prototype system for detecting anomalies in spacecraft flight system telemetry using recurrent neural networks. Show less

    • United States
    • Defense and Space Manufacturing
    • 400 - 500 Employee
    • Flight Operations Technical Lead
      • Nov 2016 - Jul 2018

      Hampton, Virginia Worked as the Flight Operations Technical Lead for the SAGE (Stratospheric Aerosol and Gas Experiment) III external payload mounted on the starboard truss of the International Space Station. I led a team of console operators and engineers in the development and execution of all flight operations, including planning, commanding, and monitoring of the SAGE III payload.

    • Senior Software Systems Engineer
      • Jun 2013 - Nov 2016

      Hampton, Virginia I worked as a senior software systems engineer during the integration and testing phase of the SAGE III/ISS science payload at NASA Langley. I developed ground testing command scripts and procedures and operated the flight payload as a test conductor during all milestone environmental and full-functional tests. In addition to that, I also developed and tested flight software for the science instrument and pointing control subsystems. After all payload tested was completed, I spent time… Show more I worked as a senior software systems engineer during the integration and testing phase of the SAGE III/ISS science payload at NASA Langley. I developed ground testing command scripts and procedures and operated the flight payload as a test conductor during all milestone environmental and full-functional tests. In addition to that, I also developed and tested flight software for the science instrument and pointing control subsystems. After all payload tested was completed, I spent time developing the core command load generation and mission planning software SAGE III would use during commissioning and routine flight operations and writing flight operations command scripts and procedures.

Education

  • Georgia Institute of Technology
    Master's, Computer Science
    2022 - 2025
  • Virginia Tech
    Bachelor of Science (B.S.), Aerospace, Aeronautical and Astronautical Engineering
    2008 - 2012

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