Brendan Crowe

Machine Learning Engineer at Ultra Electronics Group
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Boston

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Credentials

  • Amazon Web Services Cloud Practitioner
    Amazon Web Services (AWS)
    Mar, 2022
    - Nov, 2024

Experience

  • Ultra Electronics Group
    • Defense & Space
    • 700 & Above Employee
    • Machine Learning Engineer
      • Aug 2021 - Present

      • Leveraging self-Attention based time-series forecasting to detect anomalies in radar/AIS/ADSB tracks • Presenting results to engineers and senior leadership at a company-wide innovation conference • Implementing MuZero, and PPO to solve course of action planning for defense partners • Operationalizing serverless ML applications for internal customers while cutting costs • Using ResNet architecture to identify solder voids on boards, reducing human involvement in QA process • Leveraging self-Attention based time-series forecasting to detect anomalies in radar/AIS/ADSB tracks • Presenting results to engineers and senior leadership at a company-wide innovation conference • Implementing MuZero, and PPO to solve course of action planning for defense partners • Operationalizing serverless ML applications for internal customers while cutting costs • Using ResNet architecture to identify solder voids on boards, reducing human involvement in QA process

  • University of New Hampshire
    • United States
    • Higher Education
    • 700 & Above Employee
    • Postgraduate Researcher
      • May 2021 - Present

      • Improving current methods of solving the Inverse Reinforcement Learning problem as a linear program • Increasing efficiency of robust optimization formulation by creating a convex set of rewards consistent with the expert • Leading statistical analysis of several estimated parameters in the model • Proving proposed method is a refinement of GAIL and BROIL

    • Undergraduate Student Researcher
      • May 2020 - May 2021

      • Research and development of a Novel Imitation Learning Framework • Spearheaded proof of equivalence between Maximum-Entropy and Maximum-Likelihood expressions of the problem within the framework • Writing paper, revising, and literature review • Published work in NeurIPS 2020 3rd Robot Learning Workshop • Paper currently pending publication in the International Conference on Robotics and Automation

  • Brands Express
    • United States
    • Retail
    • 1 - 100 Employee
    • Database and API developer
      • Aug 2019 - Aug 2021

      • Orchestrate ene-to-end machine learning pipeline to optimize inventory diversity and quantity given resource limitations • Revamp data pipeline to determine Amazon Standard Identification Number from product descriptions • Implement and deploy General Linear Model regression to predict sales volume for inventory management and product research • Design and execute REST-API integration’s between databases and selling channels • Build back-end to control price and quantity syndication between selling and inventory channels • Maintain PostgreSQL database to ensure cleanliness and security of data Show less

  • UNH-Conferences and Catering
    • United Kingdom
    • Hospitality
    • 1 - 100 Employee
    • Supervisor
      • Sep 2017 - Aug 2019

      Coordinated and delegated tasks to groups of student caterers to ensure a high level of service for UNH events Coordinated and delegated tasks to groups of student caterers to ensure a high level of service for UNH events

Education

  • University of New Hampshire
    Bachelor's degree, Statistics, Computer Science
    2017 - 2021

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