Lifan Chen
Software engineer with a track record of building scalable, consumer-facing models that address business challenges. Specializes in building deep models with multi-modal data.
- Role
- Staff Software Engineer at Google
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Lifan Chen
My current interest lies in anomaly detection, especially for temporal/spatial data using techniques like graphical models, deep sequence models and active learning. I am currently a tech lead on developing a large scale anomaly detection service- Enthusiastic about machine learning and everything comes new in the domain- 5 years of development experience with machine learning, computer vision, natural language processing and statistical analysis- Write decent code (successfully productionized several global-scale machine learning services).
Experience
Staff Software Engineer
May 2021 — Present · Seattle, WA, US
Collaborated with cross-functional teams to redefine success metrics, focusing on user experience beyond conventional metrics like click-through rate (CTR) and revenue- Developed user context-based metrics, which is adopted in over 15 projects, enhancing the decision-making process across Maps- Designed a causal inference model to identify good and bad user patterns, influencing project prioritization and contributing to a 5% increase in user satisfaction.
Education
Zhejiang University
Bachelor of Science (B.S.), Computer Science
2012 — 2016
UC San Diego
Master of Science (M.S.), Computer Science
2016 — 2018
Skills
- C++
- Python
- Mysql
- Apache Hadoop
- Java
- Android
- Machine Learning
- Lua
- Git
- Node.js
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