Jun Shin is a senior software engineer and former engineering manager with 7 years focused on database backends and query optimization, currently driving GSQL and query execution work at TigerGraph from the San Francisco Bay Area. He has led cross-region replication, dynamic query runtime evaluation, and a data streaming workflow that cut setup time by 50%, combining hands-on C++/Java systems work with build and security automation. Jun authored benchmark queries for the LDBC Social Network Benchmark and maintains contributions to TigerGraph's ecosystem tooling, particularly around data loading and schema adaptation for diverse formats. His background blends an MS in CS with research in query optimization and three years building enterprise web applications in South Korea, giving him a rare mix of academic depth and production-hardened engineering.
7 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Illinois Urbana-Champaign
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of California, Merced
Contributions:146 commits, 20 PRs, 113 pushes in 3 years
Contributions summary:Jun primarily contributed to the development and modification of loading scripts within the TigerGraph ecosystem. Their work involved updating environment variables, optimizing data loading processes, and removing unnecessary files. They made changes to the GSQL schema and loading jobs to process SET<STRING> attributes from LDBC_SNB_DATAGEN and adapted the loading scripts for both CSV and Neo4j formats.
Contributions:16 commits, 25 PRs, 21 pushes in 1 year 6 months
gsql
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