About

Silvester Yao is a Senior Software Engineer at LinkedIn with over 7 years of relevant experience. He has a master's degree in Applied Statistics from Purdue University, where he developed skills in data analytics and statistical modeling. He is also proficient in programming languages and can implement ideas in computers to achieve maximum efficiency. At LinkedIn, Silvester is currently tackling the Data Health and Quality space using event-driven signal processing and large-scale pipelines with Spark/Scala. He is also responsible for near-time dataset health signal monitoring, including SLA, schema compatibility, anomaly detection, and more. In his previous role as a Software Engineer at LinkedIn, he worked on Data Security and Trust space by deep diving into compliance data for feature engineering, building complex classification models through XGBoost, and laying out system infrastructure for real-time user feedback for a self-sustaining model. Silvester's past experience includes an Actuarial Internship at CNO Financial Group, where he developed SQL skills while developing a new relation-based processing module on portfolio management of insurance policies. This new processing module replaced the old module with improvements of 100+ times in processing efficiency and accuracy. Silvester is proficient in several technologies, including Software Engineering, Spark, XGBoost, Scala, and Data Engineering. He is a trustworthy and capable engineer who has earned recognition for producing great work. He is always ready for any challenges that his work or other opportunities throw at him and is excited to be challenged by them.