• Designed and implemented mission critical flight software features under tight deadlines, including one instance earning CEO recognition for preventing static fire schedule delays.• Led a small team in developing flight software for an Engine Controller Unit (ECU) on an embedded platform, baselined software requirements and created a software development and validation roadmap.• Designed and implemented a State Machine framework and Sequence Engine in C++ for said ECU, used to autonomously command and operate rocket engines during tests and flights.• Performed integration and system-level latency testing between hardware/software components, including Inertial Measurement Unit (IMU), Attitude Control System (ACS), and Thrust Vector Controller (TVC).• Built a Hardware-out-of-the-Loop (HOOTL) simulation framework in C++ for integration and system-level testing of real-time distributed systems in a virtualized environment.• Conducted comprehensive system-level testing using Hardware-in-the-Loop (HITL) simulations to validate state machine logic for launch, static fire, and abort scenarios, as well as nominal performance of flight software algorithms.

• Developed and maintained embedded systems software in MATLAB, Simulink, and C++ for flight-critical Guidance, Navigation, and Control (GNC) algorithms.• Implemented state machine logic for high-risk launch vehicle operations, integrating comprehensive safety checks and configuration lock-outs to mitigate risks and prevent catastrophic errors.• Maintained the sequence engine and ground commanding systems for the RS1 launch vehicle, enabling deterministic actuator commanding, sensor abort handling, and safe execution of critical launch operations.• Created a Python-based configuration management system integrated with GitLab CI, streamlining verification, release, and deployment workflows to enhance reliability and reduce manual effort.• Designed a custom Simulink test coverage tool in Python, saving $30,000 annually in licensing costs and increasing software unit testing coverage from 7% to over 90% within three months.• Implemented scalable Monte Carlo simulation infrastructure using C++, Python, AWS, and GitLab CI, enabling a significant increase in simulation runs while reducing runtime from over 1 day to a few hours.• Designed a front-end GNC Simulation Homepage for visualizing Monte Carlo simulation data through interactive, web-based plots, leveraging cloud storage and automated CI/CD pipelines.

• Coordinated in an interdisciplinary Avionics team developing mission-critical recoverysystems for the Purdue Space Program Hybrid Propulsion Rocket• Initiated and managed the creation of a microcontroller-based inertial navigation system to promote iterative improvement through flight trajectory analysis• Utilized the MATLAB Sensor Fusion and Tracking Toolbox to estimate orientation and position using an inertial measurement unit, GPS, and extended Kalman Filter algorithm

• Substantially contributed to the creation and development of an automated greybox testing framework planned to save thousands of department-wide man-hours in software testing• Developed validation algorithms in Python testing SLBM software that were critical for the effective presentation of said testing framework to division leadership and software engineers• Collaborated in a large team of interdisciplinary interns utilizing GitLab and the Agile Feature-Driven Development (FDD) methodology for software product development• Received praise from software developers and division heads at design reviews for impressive product functionality, excellent team organization, and thorough GitLab documentation