• Taught topics and graded assignments related to discrete mathematics, including units on proofs, sets, probability, and graph algorithms.

• Programmed a script to emulate local field potentials in simulations of the human brain in the presence of a photon. Data is given in a CSV file, then the script extrapolates to a 3D graph of amplitude values to multiply to field potentials.• Built a Python package to allow real-time alternatives to a Hilbert transform function. A phase locking approach, nonresonant linear filter, and resonant linear filter were included. Created a Jupyter notebook to demonstrate the accuracy of example tests, including those published to Scientific Reports.

• Wrote Python scripts to analyze internal data logs from tutor and student applications. Used Google APIs and mathematical tools to calculate application and acceptance rates, and present them internally to advise future corporate strategy and externally to investors.• Aided the development of a website with embedded Zoom sessions, individual tutor and student logins and data, and admin access to perform maintenance tasks built with ReactJS.• Improved the internal logistics through technological automation (new website, Python scripts), optimizing existing processes for tutor applications, and creating resource guides used by 200+ tutors during sessions.

• Managed multiple nonprofit social media pages with 1500+ followers reaching 100,000+ people.• Interviewed 100+ potential tutors to determine if they meet the nonprofit tutor standards.• Organized the nonprofit's annual webinar with 150+ attendees. Tasks involve script-writing, networking with qualified speakers, and creating solutions to real-time issues during the event.

• Posted daily content for the nonprofit's social media pages, resulting in a 40% increase in followers and 60% increase in engagement.• Directed the Media Department, with over a dozen team members, when requested by the Director of Media.

• Updated LLM responses to questions about C++, Java, and Python programs, as well as advanced math questions about linear algebra, probability, and statistics. Analyzed the correctness of the answer and work shown, user feedback, and wrote correct responses involving complex mathematical calculations and topics.

• Collaborate with Shriners Hospitals to obtain x-ray spinal imagery datasets to train AIs to detect scoliosis.• Develop primitives to accelerate the evolutionary algorithm used to create AI models.• Work with NNLearner code to improve upon the results from a VFL model paper.

• Refined Python scripts to pipeline company financial data into usable presentation formats.• Ran experiments on different machine learning algorithms and training sets on digital H. Pylori bacteria slide evaluation to determine which algorithms and data produced the best results.