Diondra Peck
Senior Software Engineer, AI at National Basketball Association (NBA)
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolDiondra Peck is a Senior Software Engineer in AI with a decade of experience building production-grade ML systems, SDKs, and developer tooling from Microsoft to the NBA. She blends deep technical work in computer vision and model interpretability with backend engineering—shipping telemetry, storage integrations, and identity-based access for Azure AI services that now handle tens of thousands of daily calls. A pragmatic open-source contributor, she improved Responsible AI evaluations in Microsoft's high-profile PromptFlow project by hardening eval pipelines, adding batch timeout controls, and enforcing pylint gates for sustained code quality. Diondra's background in applied mathematics and early research on neural network interpretability for medical imaging gives her a rare mix of rigorous theory and production impact. Colleagues rely on her to translate safety and evaluation research into reliable, user-facing SDKs and evaluation tooling.
10 years of coding experience
6 years of employment as a software developer
Bachelor's Degree Applied Mathematics, Bachelor's Degree Applied Mathematics at Harvard UniversityHigh School, High School at Phillips Academy
Spanish, English
Github Skills (15)
error-handling10
evaluation-framework10
pytest10
python10
azure-sdk10
documentation10
testing10
environment-variables9
microsoft-azure9
azure9
prompt-engineering9
llm8
batch-processing8
api-ai8
ai8
Programming languages (6)
Github contributions (5)
microsoft/promptflow
Jun 2024 - Oct 2024
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:49 reviews, 22 PRs, 84 pushes in 3 months
Contributions summary:Diondra contributed to the promptflow-evals project by implementing features related to batch run timeouts, including adding environment variable options and corresponding tests. They also fixed pylint errors, added docstrings, and integrated a pylint gate to enforce code quality standards within the project. Furthermore, the user made code changes focused on metrics aggregation and renamed evaluation enums for better integration within the UI. Their work demonstrates a focus on core functionality and code quality within the evaluation framework.
aiai-application-developmentai-applicationschatgptgpt
Azure/azure-sdk-for-python
Sep 2022 - Jan 2023
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:Backend Developer
Backend DeveloperContributions:418 reviews, 13 commits, 172 PRs in 3 months
Contributions summary:Diondra primarily focused on enhancing the Azure SDK for Python by documenting exceptions within method docstrings. They updated several Python files, specifically concentrating on exception handling and related utilities. Their contributions involved code modifications in multiple files, with significant changes within the `exceptions.py` file.
pythonversionedazure-functionssdkazure-python
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