About

Siyuan Wang is a highly skilled Software Engineer with over 5 years of relevant experience in the field. Currently working at Lacework, a Bay Area unicorn company, as a Software Engineer, Siyuan specializes in Backend Software Engineering. His core areas of expertise include AWS, Microsoft Azure, GCP (Google Cloud Platform), Docker container security, visibility & compliance, query performance, query generation, compiler, syntax tree, and code generation. Before joining Lacework, Siyuan worked at Thoughtspot, another Bay Area unicorn company, as a Software Engineer. As a Member of Technical Staff (MTS), he was responsible for Business Intelligence, Artificial Intelligence, Natural Language Processing, Java 8, JUnit and Spring frameworks, Apache Maven, database query generation, aggregation, transformation, filtration, and visualization, Single Sign-On (SSO), SAML, LDAP, Google protocol buffers serialization, Kubernetes clusters, data warehousing, Postgres (PostgreSQL), RESTful API, and Row Level Security. Siyuan's past experience also includes working as a Software Engineering Intern at Daqri, where he implemented a mobile analytics data pipeline by integrating Amazon IoT (Internet of Things) with Daqri smart helmet and communicating with Amazon S3 cloud server. He also contributed to Daqri smart helmet’s main screen documentations, captured JSON data by using Qt and requesting authentication tokens from API server for analytics integration, and aided in testing Daqri smart helmet by using the Daqri mobile companion app. Siyuan holds a Bachelor's degree in Computer Science from the University of Waterloo, which he completed in 2018. He is highly skilled in several technologies, including NLP, Java, Kubernetes, Spring, Postgres, Mobile, test, and Integration. Siyuan's passion for software engineering and his extensive experience make him a valuable asset to any organization.