Tutor students in subjects: Deep Learning, AP Computer Science, and AP Computer Science Principles

Developed SMART, a deep learning approach to natural product identification leveraging a Transformer-based model andacquired skills in research and technical communicationBuilt models with Pytorch and TensorFlow, achieving cosine similarity of 0.6

Teach private programming classes to students ages 5 through 18. Classes cover topics from python graphics to artificial intelligence.

Explored different approaches to build "Explainer" models, part of a project to make AI more auditableCreated datasets, labeling tasks, documentation protocols, and designed experimentsAchieved an accuracy of over 90% across multiple classifiers with final modelGained start-up experience and technical communication experience

I worked on a medical entity recognition model in combination with a semantic search engine to efficiently retrieve and parse through medical documents. Gained experience in iterative software development, product design, machine learning models development, data science, ElasticSearch, and public cloud environments.

Designed and taught STEM classes in Programming, Lego Mindstorms, Rocketry and Math to elementary school children for summer program. Assisted students with homework and supplemental lessons during school year.

Assisted Dr. Mordecai in empirical research and mathematical modeling for a study on the effect of disease-causing pathogens on population and reproduction of plant ecosystems. My work included data collection, modeling, and discussions on relevant research.