Manager Software Engineering - AI Ecosystem at Aerospike
British Columbia, Canada
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Summary
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Lyndon Bauto is a software engineering leader focused on graph databases and AI ecosystem tooling, with six years of experience delivering enterprise-grade systems in C, C++, Java, Python, and Go. Currently managing Software Engineering for AI Ecosystem at Aerospike after driving their Graph Service, he blends hands-on backend development with people and product leadership. An Apache TinkerPop committer, he’s contributed significant async transport improvements to gremlin-python—highlighting deep expertise in drivers and connectivity for a flagship graph computing framework. His open-source work also spans SQL plugins and database integrations, reflecting a pragmatic approach to performance and interoperability. Based in British Columbia with an engineering degree from the University of Victoria, Lyndon pairs firmware-to-cloud experience with a knack for shipping resilient, low-level systems that scale.
6 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at University of Victoria
Contributions:18 reviews, 26 commits, 9 PRs in 1 year 2 months
Contributions summary:Lyndon contributed to the Open Distro SQL plugin by implementing string functions, fixing bugs related to aggregation, and adapting the code to support long data types. They were involved in release preparation, including updating release notes. Additionally, the user made changes to the JDBC format for datetime, and reverted several commits, indicating they were responsible for bug fixes and code maintenance.
Contributions:67 reviews, 141 commits, 48 PRs in 1 year 2 months
Contributions summary:Lyndon implemented significant changes to the gremlin-python library, specifically focusing on the aiohttp transport layer. Their contributions included creating the AiohttpTransport class for asynchronous communication, integrating with asyncio, and adding key features such as timeout settings. They also addressed bugs in the transport layer and added capabilities to handle message size. Furthermore, the user addressed issues such as the inclusion of nest_asyncio for applications using event loops, and also refactored the argument passing style.
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