Andrew Hoblitzell
AI Platform Lead
Greater Indianapolis United States
Summary
👤
Senior🎓
Top SchoolAndrew Hoblitzell is an AI platform leader with a Ph.D. in Computer Science from Purdue and a decade of experience building and operationalizing machine learning systems at scale. Currently leading AI Platform at Eli Lilly, he blends research rigor with practical engineering to drive production-ready ML infrastructure and tooling. An active mentor and instructor—serving in KaggleX and AI4ALL programs—he emphasizes teaching and developer enablement alongside platform delivery. He contributes to major open-source projects like PyTorch, focusing on documentation and code clarity for areas such as quantization and ONNX export, which reflects a pragmatic attention to maintainability often overlooked in ML engineering. Based in Greater Indianapolis, he pursues continuous learning through formal study, meetups, and side projects, bringing both academic depth and hands-on craftsmanship to enterprise AI.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Purdue University
English, c++, c#, java, python, r, scala
Github Skills (10)
pytorch10
machine-learning10
python10
documentation10
autograd9
neural-network9
deeplearning-ai9
deep-learning9
tensor8
onnx8
Programming languages (4)
Github contributions (5)
pytorch/pytorch
Nov 2023 - Jun 2024
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 10 PRs, 28 comments in 7 months
Contributions summary:Andrew's contributions focused on improving code quality and documentation within the PyTorch library. They addressed docstyle issues, corrected documentation, and added comments to various functions and methods. The user modified and added docstrings to code related to quantization, ONNX export, and other areas, suggesting a focus on code maintainability and clarity. These changes spanned multiple files and modules within the repository.
pythongpu-accelerationdeep-learninggpunumpy
ahoblitz/pytorch
Nov 2023 - Jun 2024
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:46 pushes, 9 branches in 7 months
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