Systems Research Group

Systems Research Group - Sub Nav

Research in database performance, application modernization, and programming languages.

Systems Research Group

The MongoDB Systems Research Group focuses on various aspects of software engineering and related disciplines, such as programming/query languages, developer productivity, ML coding assistants, and data processing.

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Who We Are

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Research Areas

Software modularity and extensibility

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Modularizing monolithic software makes it easier to develop, maintain, extend, and compose.

Programming and query languages

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Next-generation approaches to writing programs and queries can unlock value in software and data.

Efficient data processing and handling

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Data is most valuable when it is easily and efficiently processed, regardless of system interfaces.

Our Team

Kevin Pulo

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Kevin's research focuses on novel approaches to programming, and code modularity and extensibility.

Staff Research Engineer

Kevin attended the University of Sydney, receiving a bachelor's (Hons) (2000) and Ph.D. in computer science (2005) in the field of information visualization, specifically the navigation and animation of clustered graphs. Prior to joining MongoDB, he worked in high-performance computing at Australia's peak academic supercomputing facility, doing a mix of low-level systems and tool programming, high-level scientific computation programming, scientific user education/training, and visualization development.Kevin started at MongoDB in 2013 in Technical Services, focusing on technical deep-dives, tooling to boost engineer productivity, knowledge base, and close collaboration with the MongoDB core server engineering team. Following this, he joined the core server sharding team as a software engineer, where he implemented cluster-wide read/write concern (including provenance), the sharding vector clock, and tripwire assertions.In 2020, Kevin was the first person to join MongoDB Labs (now MongoDB Research), where he worked on aspects of elastically scaling MongoDB, followed by various projects looking at quantifying and improving the modularity and extensibility of the MongoDB core server. Kevin's research interests also include improving the MongoDB aggregation pipeline's expressiveness and next-generation programming approaches, especially those based on logical transformations rather than text editing.<hr/><a href="https://www.kev.pulo.au/" target="_blank">Kevin Pulo's page</a><a href="https://github.com/devkev" target="_blank">GitHub profile</a>