• Created an internal chatbot to allow teams to receive official development requests notifications in their team chats

• Utilized Apache Kafka to receive development requests, and created a rudimentary message parsing framework.

• Implemented Horizontal Pod Autoscaling on an ingestion service to improve service resilience for 1000+ devices

• Mitigated Cloud Spanner Hotspots by updating a new database's schema with sharding improving latency by 10%

• Re-structured a GoLang endpoint to use gorpc batching, reducing the number of server calls by 90%

• Developed tax data import screens using Typescript to display on file tax forms to 500+ tax experts

• Created a new Jenkins pipeline for releasing most current versions of tax rules

• Instructed a cohort of 10 university students from schools across North America through a 2-month Recommendation System course organized by Google, as part of their Computer Science Summer Institute, and hosted by Duke University

• Instructed in the reading and parsing of data into lists and maps, calculating average ratings, calculating how similar a given rater is to another user based on ratings (user similarity algorithm), recommending movies to a given user based on ratings, and displaying recommended movies for a given user on a webpage.