Instructor leading the development and delivery of dynamic curriculum in advanced data structures and algorithms.Managed a daily 3-hour lab attended by 40+ students, while also contributing to the creation of assignments and examinations.

Led a research project designing and developing a zero-shot classification HuggingFace model to grade long-answer responses by automatically classifying sections of the student response.

Data Science intern in charge of designing and training an NER (Named Entity Recognition) model to efficiently label Non-Conformance Records and improve search engine optimization. Performed data exploration/cleaning and hyperparameter tuning, producing a model with average precision, recall and f1 scores of 0.83 on key metrics.Learned and utilized ~10 new tools, libraries and APIs within a 10-week span, including Spacy and Classr transformer models, Regex and Tensorflow.

Work as an official tutor under the UC Berkeley Computer Science division, teaching CS 61B: Data Structures and Algorithms. Work one-on-one with students struggling with any topic.

Worked as part of a team of 3 students on a project which used data science concepts to extract data from NASA atmosphere databases and complicated data objects like xarrays, then analyze the effects of rainfall on soil NOx emissions.