Daniela Nganjo
@danielanganjo
I build reliable distributed cloud services and machine learning systems for cleared government environments.
What I'm looking for
At Microsoft, I build and operate distributed services processing trillions of daily requests, from modernizing Core Store Objects with ASP.NET Core and gRPC/HTTP2 to supporting production systems in a 24x7 live-site model.
I'm building Monitors-as-Code for 10+ SFDA services, creating C# abstractions, EV2 artifacts, and build/release pipelines that replace manual health-monitor setup with self-service configuration. I also design Azure Synapse MLOps and DevOps pipelines for distributed log collection and on-call diagnostics.
Alongside my PhD research in Advanced Computing at Morgan State University, I develop computer vision and multimodal AI projects, including real-time medical image segmentation and content-based image retrieval systems. I'm seeking Software Engineer and ML Engineer roles supporting cleared government cloud environments.
Experience
Work history, roles, and key accomplishments
Building a unified metrics taxonomy across microservices to standardize observability and reduce diagnostic overhead. Designed MLOps and DevOps pipelines on Azure Synapse for automated log collection and improved on-call diagnostics.
Led modernization of Core Store Objects, a backend service handling trillions of daily requests, migrating to ASP.NET Core and gRPC/HTTP2. Investigated and resolved production issues and built monitoring dashboards.
Built passive code health monitors to identify and mitigate service failures, reducing incident escalation time. Prepared data visualization dashboards for performance metrics.
Education
Degrees, certifications, and relevant coursework
Morgan State University
Doctor of Philosophy, Advanced Computing
Pursuing a Doctor of Philosophy in Advanced Computing, focusing on deep learning, computer vision, and multimodal AI.
University of Maryland, College Park
Bachelor of Science, Information Sciences
2019 - 2023
Earned a Bachelor of Science in Information Sciences from the University of Maryland, College Park.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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