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Table of contents

Basics

Name William Sharpe
Label Engineer
Email wjsharpe41@gmail.com
Summary Recent Master's graduate with experience in aerospace and environmental engineering. Seeking a position in the climate tech industry.

Work

  • 2022.08 - 2023.05
    Graduate Student
    Kroll Group (MIT)
    Performing graduate research on low-cost air quality monitoring and machine learning
    • Generated, processed, stored, and applied machine learning to environmental dataset for use in academic research
    • Created PostgreSQL database to store generated data efficiently
    • Utilized cloud computing to more efficiently generate data
    • Developed simulation models for the effects of lab instruments on low cost air quality sensor readings
    • Utilized machine learning to accurately classify optical particle counter (OPC) inputs by aerosol type, and estimate chemical properties in Python using scikit-learn and TensorFlow
    • Tested a wide array of different machine learning models to find best fit
    • Wrote code simply and documented development work for future group members using Notion
    • Effectively synthesized and regularly presented research results to 10-20 fellow engineers
    • Designed lab setup which mirrored created simulation to close sim-to-real gap
  • 2021.08 - 2022.08
    Systems Engineer Senior
    General Dynamics Information Technology
    Performed MBSE and software development in Java for the US Navy
    • Led four engineers in development of software to connect systems models with a deployed virtual architecture using Java
    • Collaborated with cloud-ops team to develop understanding of AWS virtual infrastructures
    • Developed Java code to function in and enhance CI/CD pipeline and comply with configuration management practices
    • Created system model data structures to succinctly describe deployed AWS cloud architectures
    • Presented outputs of work to 100+ customers and stakeholders at quarterly meetings
    • Wrote documentation for tools to help inform current and future workforce
  • 2019.08 - 2021.08
    Systems Engineer
    Lockheed Martin
    Performed MBSE and software development in Java
    • Acquired expertise in Java and MBSE through independent learning
    • Independently developed plugins to automate recurring tasks using Java, and Python
    • Led construction of MBSE data models to store data in clear and readable manner
    • Collaborated on tool to automatically create web pages from a data model using Java, HTML, CSS, and JavaScript

Education

  • 2022.08 - 2023.05
    MEng
    Massachusetts Institute of Technology
    Environmental engineering (Climate, Environment, and Sustainability)
    • Machine Learning for Engineering Design
    • Atmospheric Chemistry
    • Global Change Science
    • Machine Learning for Sustainable Systems
    • Engineering Computation and Data Science
  • 2015.08 - 2019.05
    BS
    University of Maryland
    Aerospace Engineering

Awards

  • 2020.01.01
    LM Innovation Award
    Lockheed Martin
    Awarded along with two other engineers for using Java to increase usability of SysML models
  • 2021.01.01
    LM Team Award
    Lockheed Martin
    Awarded along with team for innovations in MBSE and software development