Adam Young

Software Engineer at Blinkfire Analytics at Blinkfire Analytics, Inc.
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Location
Chicago, Illinois, United States, US
Languages
  • English -

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Experience

    • United States
    • Technology, Information and Media
    • 1 - 100 Employee
    • Software Engineer at Blinkfire Analytics
      • Jun 2021 - Present

    • Undergraduate Research Assistant
      • Jul 2019 - Mar 2020

      • Mentored by PhD candidate, reviewed reinforcement learning literature from ICRA and IROS robotics conferenceso Research focused on prediction using planning-based methods in an autonomous driving scenario• Outlined paper replacing existing LSTM methods with attention mechanism (transformer) • Mentored by PhD candidate, reviewed reinforcement learning literature from ICRA and IROS robotics conferenceso Research focused on prediction using planning-based methods in an autonomous driving scenario• Outlined paper replacing existing LSTM methods with attention mechanism (transformer)

    • United States
    • Software Development
    • 1 - 100 Employee
    • Software Engineering Intern
      • Jul 2018 - Aug 2018

      • Optimized real-time object detection procedure used in automated video surveillance framework• Implemented a modified version of YOLOv3 in C using the darknet framework o Doubled evaluation performance enabling each GPU to run twice as many cameras for real-time surveillance• Utilized client reported false-positive cases and applied transfer learning to improve accuracy • Optimized real-time object detection procedure used in automated video surveillance framework• Implemented a modified version of YOLOv3 in C using the darknet framework o Doubled evaluation performance enabling each GPU to run twice as many cameras for real-time surveillance• Utilized client reported false-positive cases and applied transfer learning to improve accuracy

    • Research Assistant
      • Nov 2017 - Jun 2018

      • Worked 1-on-1 with PI investigating the behavior of electrons on Graphene lattice• Applied bilateral filters to transmission electron microscope samples improving visualization of electron flow • Worked 1-on-1 with PI investigating the behavior of electrons on Graphene lattice• Applied bilateral filters to transmission electron microscope samples improving visualization of electron flow

Education

  • University of California, Los Angeles
    Bachelor of Science - BS, Mathematics of Computation
    2016 - 2020

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