• Performed seizure localization by projecting the power of EEG signals and assuming a single source of power at a given moment in time.• Successfully identified seizure occurrences on the cortex with low false errors, high accuracy, and no mistaken labeling of non-seizure events as seizures.• Compared methods for separating genuine seizure events from other frequent EEG artifacts.

• Collaborated with a team of 4 to study and write code for 2 machine learning models with the data from Kaggle.• Successfully wrote code for implementation of different machine learning models.• Contributed to the team’s success by writing code for 2 machine learning models.

• Delivered high-quality software features on an aggressive schedule, meeting all project deadlines.• Worked closely with other team members to ensure that all projects were completed successfully.• Contributed to the success of a wide variety of projects, including Food Advising Engine and some Computer Vision projects.