• Worked as a teaching assistant for undergraduate courses in Computer Organization (2 semesters) and Intro to Machine Learning, and for a graduate level course in Deep Learning.• Hosted office hours multiple days per week where I answered questions on course material and assignments.• Instructed students in writing, debugging, and testing PyTorch, Python, Verilog, MIPS assembly, and C code.• Updated homework assignments with new questions on topics including: 1. Mathematical derivation of lasso linear regression, 2. K-nearest-neighbors, 3. MLPs/PyTorch tutorial, and 4. Implementation of neural network layers from scratch, including mathematical derivations and comparisons with PyTorch.• Evaluated students’ Verilog code, test cases, and Vivado waveform simulations in the mandatory demonstration portion of their weekly lab assignments.• Graded and provided feedback on homework assignments, lab assignments, and exams

• Resolved technical issues with hardware, software, and networking for a 5,000-person organization.• Built new desktops and virtual machines with MathWorks-specific Windows, Linux, and Mac images anddeployed in employee offices.• Connected and collaborated with other MathWorks teams to resolve issues outside my existing knowledge.