Wan Lim

Pittsburgh, Pennsylvania, United States

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Summary

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Rockstar

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Top School

Wan Lim is a PhD candidate and systems-focused software engineer with nine years of experience building and optimizing database engines, benchmarking frameworks, and CI tooling, including substantial contributions to CMU's NoisePage and BusTub projects. His work spans low-level memory and index structures, query processing features, and cross-platform build/test automation, and he has interned twice in Microsoft's Data Systems Group and at Amazon Aurora. A former cybersecurity competitor with national CTF experience and responsible disclosure credits, he brings a security-minded perspective to systems design. Based in Pittsburgh, he combines academic teaching across undergraduate and graduate database courses with practical engineering that improves reproducibility and performance in widely used open-source DBMS research tooling. An avid capybara fan, he balances deep technical rigor with an approachable, community-oriented presence.

9 years of coding experience

1 year of employment as a software developer

Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Carnegie Mellon University

Diploma (High Distinction), 4.6 / 5.0, Diploma (High Distinction), 4.6 / 5.0 at NUS High School of Mathematics & Science

English, Malay

Github Skills (30)

algorithms10

benchmark10

docker10

c-language10

databases10

benchmarking10

bash10

indexing10

dockers10

data-structure10

cicd10

java10

javas10

sql10

data-structures10

Programming languages (9)

JavaC++CRustSCSSHTMLRoffJupyter Notebook

Github contributions (5)

cmu-db/benchbase

Aug 2021 - Dec 2021

Multi-DBMS SQL Benchmarking Framework via JDBC

Role in this project:

Back-end Developer

Contributions:23 reviews, 48 commits, 52 PRs in 4 months

Contributions summary:Wan primarily contributes to the core of the multi-DBMS benchmarking framework, as evidenced by changes to the `DBWorkload.java` file, which is central to the framework's functionality. These commits address issues related to benchmark execution, including fixing the execution of the NoOp benchmark and addressing connection leaks within the application. The user also made changes to testing and database interaction.

benchmarkingdbmssqlbenchmarkdatabase

cmu-db/noisepage

Jul 2018 - Jul 2021

Self-Driving Database Management System from Carnegie Mellon University

Role in this project:

Back-end & Database Engineer

Contributions:474 reviews, 142 commits, 298 PRs in 3 years

Contributions summary:Wan contributed to the development and maintenance of the database management system, specifically focusing on low-level memory management, data storage, and index structures. Their commits included addressing memory allocation issues in the RawConcurrentBitmap implementation, fixing a bug in RawConcurrentBitmap::Allocate and refactoring of B+ Tree operations. The user also worked on extending the parser to support features like DISTINCT in aggregate functions, and implementing the SQL IN operator in WHERE clauses, highlighting involvement in core query processing and optimization.

management-systemdbmsdatabase-management-systemcarnegie-mellon-universityself-driving

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