Sana N
PhD Student at Purdue University
West Lafayette, Indiana, United States
Summary
🤩
Rockstar🎓
Top SchoolSana N is a PhD student and experienced software engineer with six years of industry and research experience bridging deep learning and systems engineering. She spent multiple roles at Intel as a software and deep learning engineer and has been contributing to Purdue as a graduate staff member and researcher while pursuing advanced studies. Her open-source work includes backend test refactoring for PlaidML, demonstrating practical expertise in deep learning frameworks and test infrastructure. Comfortable moving between research and production code, she combines rigorous academic training in aerospace and computer science with hands-on experience shipping robust backend systems. Based in West Lafayette, Sana brings a rare mix of test-driven engineering discipline and research-focused problem solving to ML systems development.
6 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Lahore University of Management SciencesMaster of Science - MS, Aerospace, Aeronautical and Astronautical Engineering, Master of Science - MS, Aerospace, Aeronautical and Astronautical Engineering at Purdue University
French, English, Urdu
Github Skills (9)
ed2551910
deeplearning4j10
deep-q-learning10
deep-learning10
plaidml10
python10
testing10
cprogramming-language9
c-language9
Programming languages (1)
Github contributions (4)
plaidml/plaidml
Sep 2019 - Jun 2021
PlaidML is a framework for making deep learning work everywhere.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 29 commits, 41 PRs in 1 year 8 months
Contributions summary:Sana primarily contributed to the conversion of backend tests to EDSL (Embedded Domain Specific Language), which is a framework for deep learning. They refactored and moved existing tests, adding new test runs and making minor changes to the test suite. The user's commits focused on refactoring and improving the test infrastructure, demonstrating a strong understanding of the project's core functionality and testing procedures. This included changes to `edsl_test.py` and `backend_test.py` files.
pytorchtvmdeep-learningmachine-learningcompiler
plaidml/onnxruntime
Sep 2020 - Jul 2021
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Contributions:1 review, 3 PRs, 16 pushes in 9 months
pytorchdeep-learningruntimemachine-learningonnx
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