Taji Harris is an operations-minded manager and former software engineer with three years of professional engineering experience and a BA in Computer Science from the University of Virginia. They blend product thinking and technical execution, having shipped LLM deployment and inference features at Microsoft and contributed AST validation and deployment robustness to the widely used Azure SDK for Python. Now leading operations at a 6,300 sq ft live music venue in Los Angeles, Taji has standardized digital workflows, negotiated contracts, and runs P&L reporting to tighten day-of-show execution. Their background in live sound and production coordination informs a pragmatic, systems-oriented approach to event operations and technical project delivery. Comfortable bridging product, engineering, and on-the-ground logistics, Taji is equally at home resolving merge conflicts in SDK code as troubleshooting a venue’s run-of-show. This combination of cloud ML deployment experience and hands-on production work makes them adept at operationalizing complex technical products under real-world constraints.
3 years of coding experience
7 years of employment as a software developer
Bachelor of Arts - BA Computer Science, Bachelor of Arts - BA Computer Science at University of Virginia
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
Role in this project:
ML Engineer
Contributions:42 reviews, 8 commits, 42 PRs in 3 months
Contributions summary:Taji primarily focused on implementing and validating AST syntax checks for scoring scripts within the Azure ML SDK for Python. This included integrating AST validation into the SDK, providing error messaging, and addressing merge conflicts. They also worked on refactoring and improving the data collector and component deployment features related to model deployment and event hubs. The contributions directly improve the robustness of the deployment pipeline and enable advanced model deployment features.
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
Contributions:291 pushes, 34 branches in 1 year 9 months
pythonversionedazure-functionssdkazure-python
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