- Researched deep learning models for hyperparameter optimization for class incremental learning on CIFAR-100 and ImageNet datasets using PyTorch to simulate loss functions to be used for emerging memory technologyoptimization- Programmed python and bash scripts on a HPC cluster for data analysis and test automation purposes

- Managed team funds and logistics as Chief Operations Officer and organized competition- Lead a group of students in the design and implementation of all logistics aspects for our team, including company relations, team operations, competition, space management, and budgeting. - Redesigned the tractive system and accumulator for Formula Hybrid+Electric Competition with a group of peers.

- Performed customer demonstrations and analyzed wafers with metrology machines and spectra analysis- Created precise wafer tracker detailing all customer demos on Optical Critical Dimension (OCD) metrology systems for future use- Generated a spectra library for KLA standard wafers on the newest tool generation using rigorous coupled-wave analysis (RCWA) and machine learning techniques- Modeled wafer structures for spectra analysis purposes on KLA OCD metrology systems using AcuShape

- Developed a method of microfabrication to create sutures that release growth factors for medical purposes- Designed a precise fabrication protocol still used a year later and tested product strength, growth factorpermability, and reproducibility for future use

- Taught elementary schoolers in a group or in a classroom, various levels of competitive mathematics, about 2 to 3 hours per week for four years

- Developed a method to fabricate hydrogel micro-tubes as three-dimensional cell culture scaffolds using optimized parameters for shape consistency and structure stability- Successfully grown lens cell organoids within hydrogel micro-tubes.