Jonathan Jin
Jonathan Jin is a software engineer on Uber’s Observability Applications team in New York. He likes dry, minerally white wines, folk music, and light-roasted pour-over coffee.
Engineering a Job-based Forecasting Workflow for Observability Anomaly Detection
Uber’s Observability Applications team overhauled our anomaly detection platform’s workflow to enable the intuitive and performant backfilling of forecasts, paving the way for more intelligent alerting.
Implementing Model-Agnosticism in Uber’s Real-Time Anomaly Detection Platform
Uber Engineering extended our anomaly detection platform's ability to integrate new forecast models, allowing this critical on-call service to scale to meet more complex use cases.
