Wil Brady
Director Of Engineering at Talkdesk
Durham, North Carolina, United States
Summary
🤩
Rockstar🎓
Top SchoolWil Brady is a seasoned engineering leader with nine years of senior experience and a track record of building and scaling developer infrastructure across Microsoft and now Talkdesk as Director of Engineering. He combines deep technical roots in systems, CI/CD, and distributed server features with hands-on ML engineering contributions to high-profile open-source projects like ONNX Runtime, where he expanded PyTorch eager-mode support. Known for mentoring and teaching—evidenced by adjunct statistics instruction and a passion for helping others grow—Wil excels at aligning large teams around clear goals to deliver complex projects. He brings rigorous academic foundations in math and computer science from Penn and Wisconsin–Madison and volunteers his analytical skills in the IRS VITA program helping low-income taxpayers navigate tax rules.
9 years of coding experience
18 years of employment as a software developer
Bachelor of Science Computer Science Economics and Math, Bachelor of Science Computer Science Economics and Math at University of Wisconsin-MadisonMasters of Philosophy Mathematics, Masters of Philosophy Mathematics at University of Pennsylvania
Github Skills (10)
pytorch10
machine-learning10
deep-learning10
onnx10
python10
cprogramming-language9
c-language9
neural-network8
hardware-acceleration8
tensorflow7
Programming languages (4)
Github contributions (5)
microsoft/onnxruntime
Jun 2022 - Aug 2022
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Role in this project:
ML Engineer
ML EngineerContributions:112 reviews, 18 commits, 31 PRs in 1 month
Contributions summary:Wil contributed to the ONNX Runtime, specifically focusing on eager-mode operations for PyTorch. Their work included adding and testing eager-mode support for several PyTorch operations, such as `_softmax`, `argmax`, `equal`, `eq`, `ne`, and `mm.out`. They also implemented eager support for `fill_` and enhanced generator support for output parameter resizing. The user's contributions aimed to expand the functionality and testing of eager-mode within the ONNX Runtime framework, demonstrating a focus on integrating PyTorch operations.
runtimetrainingtensorflowai-frameworkaccelerator
WilBrady/onnxruntime
Jun 2022 - Sep 2022
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Contributions:66 pushes, 29 branches in 2 months
pytorchdeep-learningruntimemachine-learningonnx
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