Randy H
Microsoft Dynamics 365 For Finance And Operations Commerce (Retail) (AX) Support Escalation Engineer
Fargo, North Dakota, United States
Summary
🤩
Rockstar🎓
Top SchoolRandy H is a seasoned support escalation engineer with over 7 years focused on Microsoft Dynamics 365 for Finance and Operations Commerce (Retail/AX) and a long track record at Microsoft dating back to 2008. He combines deep product support and troubleshooting expertise with hands-on engineering discipline, having progressed from POS and RMS roles to senior AX support and current escalation ownership. Beyond support, he contributes to high-profile open-source ML projects—helping enhance tf2onnx and ONNX Runtime with backend optimizations, CUDA improvements, and new opset support—which reflects a strong backend and ML engineering capability not obvious from his job title. Based in Fargo, ND, he pairs practical enterprise support experience with code-level contributions that improve interoperability and performance in ML tooling. He holds a degree in Management Information Systems from North Dakota State University and brings a pragmatic, customer-focused approach to resolving complex technical issues.
7 years of coding experience
8 years of employment as a software developer
GED, General Studies, GED, General Studies at Rock Lake Public SchoolBachelor's degree, Management Information Systems, General, Bachelor's degree, Management Information Systems, General at North Dakota State University
Github Skills (17)
conversions10
python10
machine-learning10
onnx10
hardware-acceleration10
deep-learning10
tensorflow10
cuda10
gru9
c-language9
ml9
cprogramming-language9
testing8
unit-testing7
build-automation7
Programming languages (5)
Github contributions (5)
microsoft/onnxruntime
Mar 2019 - Jan 2023
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:3 releases, 874 reviews, 563 commits in 3 years 10 months
Contributions summary:Randy's commits focused on improving the ONNX Runtime, a high-performance machine learning inferencing and training accelerator. They worked on unifying version logic, modifying build scripts, and updating documentation to reflect version changes. The user also contributed to enhancing test cases, and optimizing the CUDA implementation for TopK operator, indicating contributions in both the backend and the machine learning engineering.
runtimetrainingtensorflowai-frameworkaccelerator
onnx/tensorflow-onnx
Oct 2019 - Jun 2020
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Role in this project:Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:141 commits, 63 PRs, 39 pushes in 7 months
Contributions summary:Randy contributed primarily to the `tf2onnx` project, focusing on enhancing the conversion of TensorFlow models to ONNX format. Their work involved adding support for new functionalities like CuDNNGRU, and integrating new features for improved compatibility. The commits also included code formatting and adding unit tests, demonstrating their commitment to code quality. Further, they implemented support for new opset versions for features like MatrixDiag and MatrixSetDiag.
tensorflowjsexportdeep-learningonnxkeras-tensorflow
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