Backend engineer has experience with machine learning model training and serving as well as ads serving optimization.
Overview
4
4
years of professional experience
Work History
Software Engineer
Google LLC
07.2019 - Current
Develop and serve the ML model which throttle the traffic to achieve computing resource saving. Provide the e2e solution, including evaluation tool and monitoring to improve the reliability and iteration speed. Analyze the model performance, find the headroom and claim it.
Build the offline pipeline to annotate the advertiser's data based on performance history, which will be used to save resource during serving time.
Tuning ads serving stack parameters to get better revenue versus resource tradeoff.