Experienced engineer skilled in Python, scientific computing, and aerospace structural analysis, leading the development of engineering tools and AWS automation, with a strong track record of collaborating within teams to solve complex technical challenges.
Skills
Proficient in Python programming for scientific computing, data analysis, and automation using Boto3, Jupyter, Matplotlib, NumPy, Pandas, SciKit-Learn, and SciPy.
Experience
Engineering Tool Developer and Aerospace Structures Engineer
January 2022 - Present | Collier Aerospace | Raleigh, North Carolina
Lead Engineering Tool Developer
- Leading new development, maintenance, and managing contributions to a large python codebase from the entire engineering team using Git and Azure DevOps.
- Automating the use of the AWS Cloud for batch processing of large finite element models and HyperX analysis databases with Boto3, EC2, and S3.
Aerospace Structural Analysis
Lead a module-level test analysis effort for a commercial space launch vehicle. This required managing engineers and communicating results and structural integrity requirements with stakeholders.
Education
B.S. Aerospace Engineering
August 2018 - May 2022 | North Carolina State University
Projects
Premier League Forecasting
Developed a machine learning model using SciKit-Learn to predict the final standings of the 2024-2025 Premier League season. Forecasts are updated weekly on AWS using ECS, Docker, and SQLite.
2021-2022 AIAA Design Build Fly Competition
Developed a MatLab program to perform Multidisciplinary Design Optimization on a remote-controlled aircraft. This resulted in a 6th out of 127 place finish in the proposal round of the competition.