Megha Sharma is a software engineer with nine years of experience building robust backend and distributed systems, currently based in the San Francisco Bay Area and working at TikTok after five years at Apple. She holds an MS in Computer Science from UMKC with a 4.0 GPA and multiple academic awards, blending strong academic rigor with production engineering. Her open-source contributions to Apache Mesos improved agent resilience and garbage collection behavior, reflecting a focus on reliability in cloud and large-scale systems. Past work spans Java, .NET, Big Data, machine learning, and clinical and sensor-based applications, showing versatility across data-driven domains. Colleagues describe her as detail-oriented and pragmatic, with a knack for hardening systems against real-world failure modes.
9 years of coding experience
7 years of employment as a software developer
Master of Science (MS), Computer Science and Engineering, Master of Science (MS), Computer Science and Engineering at University of Missouri-Kansas City
Contributions:4 commits, 2 PRs, 3 comments in 5 months
Contributions summary:Megha primarily focused on improving the robustness and stability of the Apache Mesos codebase, addressing potential error scenarios and edge cases within the Mesos agent. Their contributions involved modifying the `rmdir` and `gc` functionalities to prevent premature exits upon errors, ensuring continued operation even with undeletable files. Furthermore, they enhanced testing, creating new tests to simulate potential failures and verify the system's resilience, particularly focusing on the correct behavior during agent re-registrations after host reboots and network partitions. This work involved modifications to the build and release and garbage collection mechanisms.
PLEASE NOTE: Mesos is now hosted in Apache git! Get it using git clone https://git-wip-us.apache.org/repos/asf/mesos.git
Contributions:12 commits in 1 year
hostedwipapacheasfmesos
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