Design mechanical systems for autonomous vehicles and material handling robots.• SolidWorks, PTC Creo• Structural analysis using FEA • Rotary and linear motion/actuation• Sensor integration• Sheet metal, machined parts, weldments• DFM, DFA, DFMEA, FAI• Collaborate with multi-disciplinary teams across geographically dispersed organization • Communicate with vendors

Helped deliver safe, reliable, and economical power for people around the world.• Owned mechanical design for industrial computers from concept through NPI (SolidWorks)• Conducted structural analysis using FEA and thermal analysis using tools such as Icepak and Flowsim• Conducted structural and thermal experiments • Designed systems to exceed relevant compliance standards (UL, CE)• Collaborated with external vendors and internal manufacturing teams to optimize designs for manufacturing• Interfaced with electrical engineering team to integrate PCB requirements with mechanical capabilities• Developed sheet metal and injection molded components, utilizing CAD software and performing tolerance analysis• Represented R&D when selecting and qualifying a new vendor for cooling systems• Automated SolidWorks data management using Python to check for differences between part state and revision in SolidWorks PDM and an internal database used by the procurement and manufacturing organizations

Designed electro-mechanical consumer and enterprise products. • Product Design (Creo) involving injection molded, sheet metal and machined parts• Conducted failure analysis to improve system reliability and created prototypes to test and implement solutions• Collaborated with overseas manufacturers to produce high-volume parts and minimize financial impact when modifying production tools • Released 50+ parts to production for single program evaluating FAI/CpK, GD&T (ANSI-Y14.5), and tolerances• Utilized analytical models, FEA, Variation Analysis (VSA), hands-on prototypes and 3D Printing (FDM, SLS, MJF) to accelerate the design process• Contributed to the development of testbeds by designing, modifying and sourcing parts• Worked with technicians to root cause issues and maintain systems in test environments• Automated processing of motor and sensor data using Python script to query multiple log files from failed prints

Interned in the Intelligent Robotics Group at NASA Ames, during the summers of 2013 and 2014. My work involved simulating collisions between a spherical tensegrity structure (an experimental robotic vehicle) and the ground to determine the structure's ability to reduce impact forces on a payload of scientific instruments. For this purpose I modified an Euler Lagrange based simulator written in Python. The results indicated the system could function as a planetary lander. This work served as the foundation for a capstone design project for engineering undergraduates at the University of Idaho.Other projects from my summers at NASA included: feasibility studies for generating wind power on a tensegrity structure, feasibility studies regarding spherical tensegrity locomotion by actuating a central payload (which also lead to a capstone design project at the University of Idaho), and design and construction of a tested for a twisted string actuator.During the school year I mentored undergraduate engineers in their senior design projects for NASA at the University of Idaho and facilitated communication between the engineers at NASA Ames and the students.

Simulated the pressure rise in a penstock under various conditions that resulted in a water hammer surge. This model was based on a finite difference method. This gave project engineers parameters for their design of the penstock for a renewable energy application. I also created a visualization in MATLAB of the surge to enhance the engineers' understanding of the problem.

Characterized the mechanical properties of the synthetic biomaterial Polyethylene Glycol Diacrylate. I used these properties to model the biomaterial with the FEA tools available in COMSOL. I designed and assembled a test fixture to compress the biomaterial and measure the load applied to the biomaterial in the confines of a laser scanning confocal microscope. This project supported ongoing research into vasculogenesis, (blood vessel formation) an important topic in regenerative medicine. The research was funded by the NSF.