Senior Research Software Development Engineer at Microsoft
Seattle, Washington, United States
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Summary
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Lukas Maas is a Senior Research Software Development Engineer based in Seattle with 13 years of experience building high-performance data systems and resource-allocation mechanisms for cloud databases. At Microsoft Research he drives cost-efficient, serverless-aware resource management for multi-tenant database services and collaborates closely with the Azure SQL team to move research into production. His background spans hardware-conscious data container design and hardware/software co-design from Harvard and TU Dresden, giving him a rare ability to optimize across the stack from query execution to memory and NUMA-aware indexes. An active backend contributor to Microsoft Research’s Garnet remote cache-store, he improved RESP command parsing, error handling, and cluster auth—work that directly strengthened a Redis-compatible high-performance cache. Lukas combines rigorous academic training with hands-on systems engineering, routinely turning research prototypes into robust, scalable components used in large cloud deployments.
13 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Technische Universität Dresden
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Harvard University
Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.
Role in this project:
Back-end Developer
Contributions:80 reviews, 13 PRs, 16 pushes in 2 months
Contributions summary:Lukas primarily focused on back-end development tasks within the Garnet repository, specifically concerning parsing and argument handling for object store commands. They debugged argument errors and implemented fixes for parsing issues across various commands like ZREM, ZCARD, HLEN and others, ensuring correct command execution. Moreover, the user refactored the code to separate RESP command parsing from command execution, improving code structure and readability. Finally, the user also contributed to the authentication process and error handling for cluster-related functionalities.
Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.
Contributions:56 pushes, 4 branches in 1 month
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Lukas Maas - Senior Research Software Development Engineer at Microsoft