Establish optimal processes and key tool upgrades through the use of DOEs and statistical analysis, including projects to enable enhanced vacuum control, enhanced solvent control, the latest printing methodologies, and use of more robust collaterals within the toolTrain new engineers to become experts in the solder printing tool, competent in the module’s functionality, and capable in writing robust white papers for change control in manufacturing Lead the effort of qualifying new chemicals within the tool through meticulously planned DOEs and implementation strategy impacting manufacturing sites globally while achieving qualification with no impact to yield or cycle time Qualify new software for the tool that enables key features for an up to 60% improvement in cycle time, 20% reduction in software bugs, and upgrades for manufacturing productivityFacilitate multiple tools being moved into the factory with all safety audits in place and ensuring the tools were statistically equal to all other like equipment in the factory

Collaborated with Dr. Elissaios Stavrou to improve the methodology of finding the isothermal high-pressure equation of state of poly-crystalline materials in diamond anvil cells using optical microscopy and interferometrySimulated total deformation from high pressures in a diamond anvil cell in ANSYS WorkbenchMeasured the refractive index of silicone oil using Raman spectroscopy and white light interferometry

Tutored students in historically challenging STEM related courses (chemistry, physics, calculus)Created practice problems to enhance student’s understanding of course materialConducted sessions to review course material and answer questions

Expanded upon anomaly detection research that was initiated at the Naval Research Laboratory by comparing the accuracy of the Rx algorithm and the kPCA method with ROC curves Wrote a research paper professionally to present to chair of the Mechanical Engineering Department at USC Presented at the SAEOPP conference in Atlanta, GA in the Physical Science category and awarded first place

Collaborated with Dr. Tim Doster and Dr. Colin Olson at the US Naval Research Laboratory to leverage manifold learning techniques to learn a background model for hyperspectral imageryDeveloped a numerical testbed using MATLAB for future experimentsCo-authored a published paper for aiding the computational expense and experimental limitations of the research