Developing the future of recommendation systems on the Search & Discovery team

Developed algorithms for index and stock predictions

• Lead team of 12 Teaching Assistants for the course Elements of Machine Learning to provide educational assistance to 141 students, manage administrative communication and maintenance of class website and forum, and grade assignments in a timely manner

• Collaborate with the professor in designing assignments and refining exams to align with course objectives

• Proposed, designed, and built a machine learning pipeline with automated hyperparameter tuning functionality using XGBoost in AWS CodePipeline for new user underwriting model training

• Integrated backend SDK for A/B experimentation with company API and migrated experiments in the backend and in remote configuration from Split to GrowthBook

• Built data-querying production pipeline for existing user underwriting using pretrained models

• Designed unit test cases for A/B experimentation migrations and credit assignments

• Joined cohort of mentors and peers within the tech startup space

• Educated on venture capital structure, goals, and strategy

• Connected with investors and partners for conversations about investing ideologies and tech advice