Designed and deployed 3 Java CRUD operations for 500+ reviewers to use to provide feedback on model inferences for retraining ML models used within the App Store Review pipeline, being used in production for incoming app submissions
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Made workflow with Docker and sidecars to update Cassandra tables with reviewer feedback; assisted in the development of App Store Review UI in React
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Implemented internal Kafka publisher-consumer notification system; wrote 10+ unit tests, added Splunk logging
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Presented to 70+ people, worked closely with 3+ teams to built product
Created an Apple internal tool to maximize efficiency across a team of 15+ engineers, using Python, keyword extraction (RAKE and Cosine Similarity), internal APIs, Kubernetes, and Docker
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Deployed an algorithm to run on incoming problems, parse through and update a database of 60,000+ old problems to find the most similar ones, and attach them to each incoming problem