Aerospace Applications Software Engineer | Blue Origin | Denver, CO |
June 2023 - April 2025
Early hire for the Lunar Permanence Business unit, established to
fulfill a $3.4 billion NASA contract for the Artemis mission
human-rated lunar lander, where I served as a core member of the
simulation software team by bridging traditional aerospace
methodologies with modern software practices.
Pathfinded hardware mocking capabilities in C++ that enabled a
completely software simulation environment for verification of
flight software and simulation algorithms.
Created bespoke test case management software for writing,
publishing and tracking of individual test cases to replace existing
method of writing in Markdown tables with no automation. This
project was solely developed by me and leaned heavily on the idea of
fully automating processes, and working closely with stakeholders to
understand decisions that led to the initial implementation. Final
product led to an immediate 10x increase in productivity month over
month.
Led development environment standardization for flight software
teams, eliminating setup friction and reducing onboarding time from
days to an hour, dramatically improving cross-team collaboration and
developer productivity.
Split time working within customer teams to ensure simulation
software capabilities meet test requirements, proactively developing
features to eliminate critical roadblocks in the verification
process.
Technologies used: Python, Pytest, Pandas, NumPy,
C++, Docker Compose, Docker Dev Containers, GitLab CI/CD, NASA
Trick, Kanban
Simulation Software Engineer, Advanced Programs | United Launch Alliance
| Denver, CO | May 2022 - June 2023
Architected and delivered a cross-team simulation model for
Vulcan-Centaur rocket verification that was adopted company-wide and
recognized as one of United Launch Alliance's major technical
achievements of 2022.
Modernized a legacy monolithic codebase from the 1980s by replacing
~700k lines of unmaintainable FORTRAN with compiled artifacts. This
change massively improved compilation performance of codebase, and
allowing streamlined tooling to increase developer productivity.
Pioneered the team's first CI/CD pipeline to drive code quality
improvement by implementing automated format and lint checks, which
prevented reviewers from using surface-level feedback as a
substitute for meaningful architectural and logical review.
Developed a stock market bot using Python that delivers real-time
data and analysis to group chats with tens of thousands of monthly
active users. Developed an abstracted asset API to manage multiple
asset classes from various data sources.
Used CI/CD to automatically build, publish, and deploy latest
commits to a Kubernetes Cluster. Canary and stable releases were
automatically managed and rolled out.
Undergraduate Research Lead | Orbital Debris Classification | Prescott,
AZ | 2021
Led research applying machine learning to high-resolution 3D scans
of satellite impact debris, developing an innovative Orbital Debris
model in collaboration with the Dean of Engineering.
Implemented advanced dimensionality reduction techniques from
scratch in Rust that improved classification accuracy and speed by
magnitudes over MATLAB builtin functions, resulting in more precise
characterization of 3D orbital debris fragment point cloud scans.
Technical Lead | Capstone: Spacecraft Detail Design | Prescott, AZ |
2021
Developed a fully dynamic 6 degree of freedom simulation of a rocket
landing that was verified with real hardware. Demonstrated design
with test stand using a real thrust vector control mechanism and a
solid rocket motor.
EDUCATION
B.S. Aerospace Engineering | Embry-Riddle Aeronautical University |
Prescott, AZ | May 2022
Bachelor of Science in Aerospace Engineering (Astronautics
Concentration) with a minor in Computer Science