• Led the design and execution of testing protocols for metals subjected to high-velocity impact, measuring parameters such as temperature, deformation, stress, and velocity under extreme conditions (from -60°C to 400°C).• Created and optimized simulation models for failure mechanisms in hardened steel, reducing computational time by 1000% while ensuring high accuracy, critical for testing hypotheses in dynamic environments.• Developed custom Python and MATLAB scripts to analyze experimental data, providing real-time data visualization for ongoing tests and post-test analysis.• Designed experiments to validate theoretical models, ensuring alignment between simulated and experimental stress-strain data for materials under varying conditions.• Improved testing efficiency by refining initial conditions and incorporating real-time data feedback, enabling more effective failure mode identification during experiments.

• Developed new aerodynamic theory for wind turbine blade design to increase power output per turbine and increase overall wind farm efficiency.• Built and validated testing models in MATLAB to simulate blade performance under varying environmental conditions, ensuring optimal power generation across seasonal cycles.• Designed and simulated aerodynamic tests for wind turbine blades using CFD software, correlating simulation results with experimental data to improve test reliability and accuracy.• Utilized data analysis and statistical methods to quantify blade efficiency improvements, resulting in a 50% increase in long-term energy production.

Working as a lead mentor for the SENGI summer program, helping teach students various engineering related concepts and well as Auto CAD, Arduino, and MatLab.Co-Led Underwater Remote Operated Vehicle project for the 2020 institute.Led Glider project for the 2020 institute

data acquisition and analysis for a local water shed for flood monitoring.

Monthly events in which Monster Energy is supplied to college students across the campus. Sampling to gain insight into product response for Monster Energy.