PuppyGraph
Danfeng X. has a strong work experience in the field of software engineering. Danfeng started their career as a Student Researcher at Fudan University in 2009 and worked there until 2012. In 2011, they had an internship as an SDE Intern at Microsoft. Danfeng then joined Facebook in 2013 as a Software Engineer Intern. From 2014 to 2023, they worked at LinkedIn as a Staff Software Engineer, where they were involved in developing the next-generation Java HTTP server and platforms for member communication and growth. Currently, Danfeng is serving as a Co-Founder at PuppyGraph since 2023.
Danfeng X. completed their Master of Science (M.S.) degree in Computer Science from UCLA, attending from 2012 to 2014. Prior to that, they earned a Bachelor of Science (B.S.) degree in Computer Science from Fudan University, where they studied from 2008 to 2012. Their secondary education was completed at Shaoxing No.1 High School from 2005 to 2008. In addition to their formal education, Danfeng X. obtained a certification in Unconscious Bias from LinkedIn in June 2020.
This person is not in any teams
This person is not in any offices
PuppyGraph
A graph lakehouse - graph analytics engine for all your data. No ETL Query the tables as graphs on your existing data lakes such as Apache Iceberg and Delta Lakes. Auto Scaling Scalability is no longer an issue for graphs with us. The data are auto-sharded and the compute and storage are separated and both are distributed. High Performance Low latency for complex queries such as 10-hop neighbors. Easy Migration Compatible with Apache Gremlin as the query language, and Apache Iceberg to query on your existing data lake.