• Performing large-scale tensile and strength testing on metals, generating reliable data to evaluate mechanical properties for structures such as bridges.

• Gaining proficiency in the use of advanced testing and fabrication equipment, including Instron machines, band saws, grinders, and other shop tools.

• Designed and optimized airfoil-based rail button geometries, created CAM programs for in-house manufacturing, and conducted finite element analysis (FEA) to evaluate stress distribution and aerodynamic loading, reducing stress concentrations by 10% and improving efficiency.

• Currently developing the 2026 standard operating procedure (SOP) for fin fabrication with composites, including carbon fiber, to streamline manufacturing processes and ensure consistency, and leading development of bonding procedures for integrating fins to the rocket body tube.

• Modeled the initial 2025 hybrid and solid rockets’ bulkhead designs using SolidWorks and Onshape computer aided design software.

• Gained experience working with features of OpenRocket to simulate and design rockets for optimal performance.

• Performed carbon fiber and epoxy lay-ups to G10 fiberglass sheets to fabricate rocket fins.

• Utilized water jet machining to cut rocket fins of precise geometry.

• Collaborate with a team of 10 students to design and assemble an autonomous robotic boat to address harmful algal blooms.

• Utilized SolidWorks to CAD an optimal tether attachment for our boat and used Bambu printers to 3D print the part for integration into our vehicle.

• Assembled and tested the boat’s sensor buoy for functionality in water.

• Automating finite element analysis workflows in FEBio by developing scripts to streamline meshing, and boundary condition application, improving simulation efficiency and consistency across models.

• Translating measurements and proximal cervix mapping data into parametric SolidWorks CAD models.

• Designed and trained an AI model in Python to crop, segment, and isolate cervical regions of mice from raw experimental images, improving image processing and analysis efficiency by 91% and enabling researchers to progress more quickly through subsequent experimental steps.

• Developed proficiency in MATLab while performing initial manual cropping of images to generate training data for the AI model.