Nanke L
Software Engineer at Charles Schwab
California, United States
Summary
👤
Senior🎓
Top SchoolNanke L is a software engineer with 9 years of experience building back-end systems in the financial services sector, currently contributing at Charles Schwab from California. He brings strong multi-language expertise (C#, ASP.NET, Angular, JavaScript, Python, SQL, C++) paired with an MS in Financial Mathematics from Rutgers, enabling him to bridge quantitative requirements and production software. His open-source contributions to the Apache HugeGraph project demonstrate practical graph-database schema and data-loading work, reflecting comfort with scalable data models and index design for large datasets. Known for applying rigorous engineering practices to enterprise-scale problems, he combines backend and database engineering chops with a quantitative lens to deliver reliable, data-driven systems.
9 years of coding experience
Bachelor of Science - BS, Bachelor of Science - BS at Nankai UniversityMaster of Science - MS, 3.78, Master of Science - MS, 3.78 at Rutgers University
Github Skills (14)
javas10
schema-design10
graph-database10
database-design10
schema10
db-schema10
java10
database-schema10
database9
gremlin9
databases9
big-data8
graph8
graphing8
Programming languages (1)
Github contributions (3)
apache/incubator-hugegraph
Apr 2017 - Aug 2017
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:10 commits, 3 comments in 3 months
Contributions summary:Nanke primarily contributed to example code related to a graph database, specifically focusing on data loading and schema definition for a "Graph of the Movies" example. They implemented features such as adding new movie data, creating vertex and edge labels, and defining property keys. Furthermore, the user added functionalities such as creating indexes. These modifications show a strong understanding of graph database concepts and the ability to work with its schema and data structures.
big-datadatabaserest-apiscalabilityapi
hugegraph/hugegraph-doc
Nov 2017 - Apr 2018
Contributions:7 commits in 5 months
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