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Table of contents
Basics
Name | William Sharpe |
Label | Engineer |
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
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