● Designing and owning the hardware that attaches jet engines to aircraft.● Applying loads from both engine and aircraft to size hardware based on strength, low-cycle fatigue, damage tolerance, crack propagation, fire, and other design requirements. ● Performing structural analysis using finite element analysis (FEA) in support of new engine designs and fielded products.● Providing sustained support for fielded hardware: Material Review Board, Departure Records, Changes in Design, etc. ● Interfacing with adjacent hardware owners, airframers, and revenue sharing partners.● Documenting and communicating engine mounts design, analysis, and test data.● Preparing and presenting technical information to internal and external customers.

Digital Design & Manufacturing Lab● Research involved automation and validation of an FEA simulation workflow to be used for big data generation in support of a larger NSF-sponsored project● Performed benchmark metal forming/springback simulations using both implicit and explicit FEA, then modified and parameterized explicit benchmark simulation for automation compatibility● Developed clamping and joining simulations with consideration for import of forming-stage results, compatibility of components to be joined, and parameterization of geometry● Integrated the automated FEA workflow using Python and ANSYS Mechanical Scripting to operate without user intervention and generate a pre-set number of components and assemblies● Led a small team to deploy the workflow to automatically generate 180 formed components and 1,000 unique assemblies● Created a novel method of analyzing bias in datasets to be used for neural network training called a representation frequency matrix● Constructed a fully-connected neural network to predict 3 component-level springback measures based on 4 forming stage input parameters● Maintained frequent communication with project team through status update meetings and working meetings to ensure continuity of the project after thesis completion

Medical Device Component and Assembly Equipment Development● Completed documentation and statistical analyses in support of surgical product assembly line updates● Performed explicit finite element analysis of a prototype component to reduce risks prior to physical testing● Assisted in the execution of testing for product updates & marketing claims and assembly line equipment updates

ME 5139 - Applied Finite Element Method● Responsible for organization and leadership of laboratory component of finite element analysis course containing 80+ students● Virtually taught multiple laboratory sessions per week to groups of 20-30 students at a time and met with smaller groups in office hours to reinforce learnings● Strengthened skills in FEA (ANSYS) through troubleshooting of students’ issues and communicating solutions

Medical Device Service & Repair Process Development● Developed, implemented, and optimized service and repair processes for medical capital equipment● Drove the calibration and validation of equipment being utilized in new and existing service and repair processes● Performed statistical analysis of testing data to support validation efforts● Utilized product and process documentation to comprehend medical device design, operation, and regulation

Digital Design & Manufacturing Lab● Constructed 100 VBA macros to automatically generate a total of 10,000 unique parametric CAD models in CATIA from 100 conceptual designs each having 100 individual combinations of dimensions● Optimized macro operation to reduce runtime by 83% (4 hours to 40 minutes) for generating the 100 parametric variations of a single conceptual design● Assisted in the development of a project proposal for utilizing artificial neural networks to map the design space of engineered products comprised of flexible sheet metal assemblies, which ultimately received NSF funding● In support of the NSF-funded project, investigated industry software and benchmark metal forming simulations, then performed test finite element analyses to define the scope of an automatic simulation workflow for generating neural network training data

Mechanical Project Engineering● Developed mechanical installation drawings of material handling systems using AutoCAD 2019● Accompanied project engineers on site audits and developed solutions for installation issues ● Implemented revisions to standard installation procedures through creation of technical drawings

ME 2900 - Introduction to Design in Mechanical Engineering● Assisted in the execution of labs for electromechanical prototyping course using the Arduino platform● Built an understanding of different learning styles and adjusted communication to fit the individual student● Strengthened hardware and software troubleshooting capabilities and ensured delivery of a solution to the student

Custom Product Engineering● Worked independently on custom design projects which expedited installation or improved standard products ● Designed concept models and held meetings with project engineers to receive approval for each solution● Created manufacturing detail drawings and uploaded bills of material to Oracle for ordering custom products● Communicated with shop supervisors to solve fabrication and routing issues that arose during production

Custom Product Engineering● Worked independently on custom design projects which expedited installation or improved standard products ● Designed concept models and held meetings with project engineers to receive approval for each solution● Created manufacturing detail drawings and uploaded bills of material to Oracle for ordering custom products● Communicated with shop supervisors to solve fabrication and routing issues that arose during production

Commercialization & Technology● Created assembly and part drawings using SolidWorks 2016 technology for standard conveyor products● Interpreted engineers' drawing markups and implemented revisions to solve manufacturing and installation issues● Conducted belt weld testing and produced results that led to the solution of a product maintenance issue