Machine Learning Data foundations

I work on Shepherd, Stripe’s next-generation ML feature platform, adapting the open-source Chronon platform, which enables ML teams to rapidly build consistent ML features across training and serving environments at scale. A fast and easy DSL that allows point in time correct features to be served online or computed in batch.

https://stripe.com/blog/shepherd-how-stripe-adapted-chronon-to-scale-ml-feature-development

https://chronon.ai/

Working in the Language Accessibility Research (LARCH) Lab, with Dr. Lucy Lu Wang, helping equitably and safely apply machine learning and AI models to improve clinical care.

Search & Recommendation systems TA

Covered topics like collaborative based filters, content based filtering, deep learning recommender systems, vector based search, TF-IDF and more

Observability diagnostics team

Worked on the mantis, an opensource control plane to handle real time streaming applications for logs. My project focused on redacting PII, personally identifiable information, from logs in our system before they hit splunk, without degrading performance or increasing backpressure.

Student-Athlete Academic Services CSE tutor. Tutored Intro to Comp Sci 1, 2, 3, CSE 414 database systems and CSE 373 data structures & Algorithms to student athletes for over 4 school quarters.