Passionate and fast learning backend engineer with experience of building complex industry data infrastructure, driving cross functional collaborations, and tech leading medium-size team of engineers.

Experience

2023 — NowDatabricksSenior Software Engineer

2023 — Now

Mountain View, California, United States

System table platform

2022 — 2023GoogleSenior Software Engineer

2022 — 2023

Mountain View, California, United States

Tech lead of YouTube Ads Data Infrastructure team (10+ eng), developing and maintaining the next-generation infrastructure for YouTube Ads data analysis and metrics computation, powering experiment analysis, launch evaluations, and data-driven business insights for YouTube Ads.

2020 — 2022GoogleSoftware Engineer II/III

2020 — 2022

Mountain View, California, United States

YouTube Ads Data Infrastructure team. Built the unified, event-level data repository for YouTube Ads as the canonical source of truth for data analysis, focusing on schema design, data coverage, intraday latency, and GDPR compliance / retention.

2019 — 2019GoogleSoftware Engineer Intern

2019 — 2019

New York, New York, United States

Designed and developed a full-stack web application that visualized user clicks on heatmaps for Google Display Ads.

2017 — 2017Columbia University in the City of New YorkResearch Intern

2017 — 2017

New York, New York, United States

Proposed and implemented a novel machine learning algorithm for low-rank data completion based on Newton’s method solving a system of polynomial equations.

Education

2018 — 2019

Carnegie Mellon University

Master of Computational Data Science (MCDS)

2018 — 2019

2014 — 2018

Peking University

Bachelor of Science - BS

2014 — 2018

2016 — 2016

UCLA

Electrical Engineering

2016 — 2016