Back and frontend developer for the largest DNS resolver on the planet.

Theoretical deep learning research using an information-theoretic framework and techniques inspired by statistical physics

Coded and lectured 10 Jupyter Notebook labs for students to explore data science methods with real world applications in python. Designed problem sets and tests to further a student’s theoretical understanding of the statistics behind these methods

Website: http://www.swiing.meOrganized 3-5 developers into teams to launch on iOS and continually push updates. Implemented large-scale AI music recommendation system with parameter tuning by the user to obtain specific recommendations of a certain genre, mood and energy level. Developed a scalable, RESTful backend server and ran as cluster.

Redesigned/reimplemented various microservices of the Google Search App Universal Server to be used by front-end feature teams

Researched mathematical model and implemented pipeline to answer queries on anonymized YouTube user data (on the scale of billions of records per day)