Joshua Bradley
Principal Data Scientist
Washington DC-Baltimore Area United States
Summary
🤩
Rockstar🎓
Top SchoolJoshua Bradley is a Principal Data Scientist with 13 years of experience applying deep learning—especially computer vision—to large-scale, production-facing problems across government and industry. Based in the DC–Baltimore area, he has led teams and tech efforts at Microsoft and the DoD, delivering deployed satellite imagery object-detection models and custom acoustic signal recognition systems. A hands-on researcher and engineer, he contributes to prominent open-source projects like ONNX Runtime (modernizing its C++ API) and Microsoft’s graphrag RAG system, improving developer ergonomics and core indexing/query tooling. He combines academic rigor (MS in Computer Science) with practical delivery, frequently owning the full lifecycle from model training to inference-optimized deployment. Known for adapting to varied environments, he also mentors interns and engineers to bridge research and operational needs. An attention to developer experience—evident in API improvements and CLI tooling—sets him apart from many peers who focus solely on model metrics.
13 years of coding experience
15 years of employment as a software developer
Bachelor of Science Mathematics & Computer Science (double major), Bachelor of Science Mathematics & Computer Science (double major) at Morehead State UniversityMaster’s Degree Computer Science, Master’s Degree Computer Science at University of Maryland
Stackoverflow
4,700reputation
737kreached
6answers
61questions
Github Skills (25)
c-language10
apidoc10
python10
onnx10
api10
cprogramming-language10
cli10
deep-learning9
ag9
gpt8
machine-learning8
llm8
hardware-acceleration8
neural-network8
git7
Programming languages (17)
Github contributions (5)
microsoft/graphrag
Jul 2024 - Mar 2025
A modular graph-based Retrieval-Augmented Generation (RAG) system
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:110 reviews, 57 PRs, 307 pushes in 8 months
Contributions summary:Joshua primarily contributed to the indexing and query CLI tools. They focused on improving the functionality and usability of the command-line interface. Additionally, the user made changes to several core components, including prompt handling, vector store interactions, and the API. These changes included refactoring code and reading and writing files as binary utf-8, ultimately improving the system's overall performance and stability.
gptgpt-4gpt4graphragllm
microsoft/onnxruntime
Jun 2020 - Sep 2020
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 review, 6 commits, 7 PRs in 3 months
Contributions summary:Joshua's contributions focused on enhancing the C++ API of the ONNX Runtime. They added modern C++ standards to the API, improving its usability and code quality. The user also introduced new features like an `At()` function for easier tensor element access, demonstrating a focus on developer experience. Furthermore, the user worked on providing examples for the experimental C++ API and included functionality to add custom loggers and global thread pools.
runtimetrainingtensorflowai-frameworkaccelerator
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