microsoft/mcp
Jan 2026 – Jan 2026
1 Month active
Languages Used
C#
Technical Skills
Azure DevelopmentAzure servicesCloud ComputingCommand Line Interface (CLI) Developmentbackend developmentcommand line interface (CLI) development
Rebecca (Makar) McHugh
PROFILE
Rebecca (makar) Mchugh
Remakar developed end-to-end autoimport and autoexport job management for Azure Managed Lustre within the microsoft/mcp repository, focusing on robust automation and observability for enterprise data movement. Using C# and leveraging Azure services, Remakar implemented commands to create, retrieve, cancel, and delete autoimport and autoexport jobs, unifying return structures to provide comprehensive job details. The work included extending CLI coverage with explicit azmcp managedlustre fs blob autoexport/import commands, enabling users to script and monitor Lustre data transfers efficiently. This feature addressed payload consistency issues, improved job lifecycle reliability, and enhanced the ability to automate and monitor large-scale cloud data workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
6,783
Activity Months1
Your Network
4495 peopleSame Organization
@microsoft.com4432
GitOpsMember
Ananta GuptaMember
Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Ami HollanderMember
AndersMember
Andrej KyselicaMember
Andrew MalkovMember
Work History
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026: Delivered end-to-end AMLFS Autoimport/Autoexport Job Management for Azure Managed Lustre. Implemented creation, retrieval (single and list), cancellation, and deletion of autoimport/autoexport jobs, with richer, standardized return structures for full job detail. Strengthened CLI automation by adding explicit azmcp managedlustre fs blob autoexport/import commands and aligning responses across operations. No critical bugs reported; existing issues around return payload consistency addressed. Result: streamlined automation, improved observability, and stronger enterprise data movement capabilities, enabling customers to script and monitor Lustre data import/export with confidence.
2 Commits • 1 Features
Jan 1, 2026January 2026: Delivered end-to-end AMLFS Autoimport/Autoexport Job Management for Azure Managed Lustre. Implemented creation, retrieval (single and list), cancellation, and deletion of autoimport/autoexport jobs, with richer, standardized return structures for full job detail. Strengthened CLI automation by adding explicit azmcp managedlustre fs blob autoexport/import commands and aligning responses across operations. No critical bugs reported; existing issues around return payload consistency addressed. Result: streamlined automation, improved observability, and stronger enterprise data movement capabilities, enabling customers to script and monitor Lustre data import/export with confidence.
January 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
C#
Technical Skills
Azure DevelopmentAzure servicesCloud ComputingCommand Line Interface (CLI) Developmentbackend developmentcommand line interface (CLI) development
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