Engineered Natural Language Processing/Understanding (NLP/NLU) business messaging services such as automated chatbots, commercial intent predictors and advertisement conversion detectors

Developed Machine Learning (ML) models to improve quality and integrity in ranking Messenger ads, reducing scams and negative experiences while increasing commercially valuable message threads

Performed end-to-end ML development: modeling, feature engineering, data collection and pipelining, experimentation, metric design and visualization

Taught LINGUIST1: Introduction to Linguistics with Dr. Katherine Hilton

Led weekly section lectures, hosted office hours, and graded assignments

Tutored and held conversation practice sessions for Stanford students learning Korean or Mandarin Chinese

Graded assignments for

Drove version migration of internal deep learning framework used for ads ranking/personalization

Implemented validators ensuring that ML models used for ads are sound and functional

Developed monitoring tools to visualize metadata of training features in cross-functional ML models