• Implemented test designs following software design requirements for insulin delivery system

• Developed Jenkins scripts to improve internal workflow, reducing board flashing time by 75%

• Supported cross-functional teams through flashing and debugging pump SIL and HIL issues

• Created full end-to-end test to perform basic functionality using pump and mobile device

• Documented and prepared 1900+ formal run reports in preparation for FDA submission

Graduate Teaching Assistant for:

• Machine Learning

• Taught linear algebra, common logistic and linear regression model implementation in Python

• Graded and evaluated neural networks in MATLAB

• Artificial Intelligence

• Explained common search algorithms such as DFS, BFS, greedy, and simulated annealing

• Provided feedback on planning and learning alogirhtms: MDP, value iteration, genetic algorithms

• Parallel Processing

• Tutored and analyzed projects relating to: Pthreads, MPI, OpenMP, CUDA

• Improved Python TCP thermal battery script by parsing received payload for additional information

• Updated battery thresholds for power supply, ensured compliance with requirements documents

• Executed static code analysis on next-gen left ventricular assistance device software

• Resolved bugs in embedded software and verified resolution through breadboard smoke tests

• Developed Python program to calculate the CRC-16 value of specified data values

• Utilized agile methodologies and Git version control to regularly provide progress reports

Customer Service and Order Fulfillment Associate