Yee Lim is a software engineer based in Mannheim, Germany with nine years of experience building data-centric, performance-sensitive systems, recently focusing on Clojure and back-end database engineering. They combine strong data-science instincts with practical engineering—having implemented high-accuracy bioinformatics classifiers and a string-matching correction that cut error rates from ~40% to single digits. Yee has contributed performance and correctness fixes to Datahike, an immutable distributed Datalog engine, demonstrating expertise in query optimization, indexing, and database migrations. Comfortable across Python’s data ecosystem as well as lower-level languages like C and Java, they bridge algorithmic rigor with production-grade engineering. Their track record spans industry and research, from CNN pipelines for 3D inference to enterprise middleware and cloud deployment automation. Colleagues can expect a pragmatic problem-solver who prefers measurable improvements in performance and data quality.
9 years of coding experience
13 years of employment as a software developer
Master's, Bioinformatics, Master's, Bioinformatics at The University of British Columbia
Master of Science, Computer science, Master of Science, Computer science at University of Chicago
A fast, immutable, distributed & compositional Datalog engine for everyone.
Role in this project:
Back-end Developer & Database Engineer
Contributions:12 reviews, 16 commits, 14 PRs in 6 months
Contributions summary:Yee primarily contributed to the Datahike Datalog engine, focusing on performance improvements and bug fixes. They refactored benchmarking code, added new test cases, and optimized query performance. Additionally, the user worked on database migration, resolving issues related to attribute references and ensuring consistent data handling, which showcases database engineering capabilities. They also contributed to improving index implementations and fixing potential premature termination of the hitchhiker-tree.
Contributions:1 release, 1 review, 70 commits in 1 month
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