Aradhya Mathur
Machine Learning Research Scientist at Indraprastha Institute of Information Technology, Delhi
Delhi, India
Summary
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Senior🎓
Top SchoolAradhya Mathur is a Machine Learning Research Scientist at Adobe India with a decade of hands-on experience spanning research and engineering at the intersection of ML and computer graphics. He completed a PhD at IIIT-Delhi and has continued there as a researcher, blending rigorous academic work with industry-focused internships and research roles. His contributions to open-source—adding core tensor operations and PyTorch-like behaviors to the widely used PySyft project—reflect a strong backend and systems orientation in privacy-preserving ML. Past roles range from NLP engineering to backend and Android development, giving him a pragmatic, full-stack perspective on deploying research. Based in Delhi, he combines deep technical expertise with product-minded implementation, often translating theoretical ideas into tested code and unit-covered features. An understated strength is his track record of moving between academia and production smoothly, making him effective at shipping research that integrates into real-world systems.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Indraprastha Institute of Information Technology, DelhiBachelor of Technology (BTech), Computer Science, 8.65/10, Bachelor of Technology (BTech), Computer Science, 8.65/10 at Maharaja Agrasen College(DU)
Stackoverflow
1reputation
0reached
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Github Skills (13)
tensorrt10
pytorch10
tensor10
tensorflow10
python10
operation10
numpy10
federated-learning9
unit-testing9
deep-learning8
deeplearning-ai8
secure-computation6
cryptography5
Programming languages (9)
Github contributions (5)
OpenMined/PySyft
Aug 2017 - Sep 2017
Perform data science on data that remains in someone else's server
Role in this project:
Backend Developer
Backend DeveloperContributions:13 commits, 9 PRs, 23 comments in 21 days
Contributions summary:Aradhya primarily contributed to the `pysyft` repository by implementing and testing new tensor functionalities. These included features like `view`, `resize`, `size`, and `ne` operations for the `TensorBase` class, which is a core component. They also added matrix-vector multiplication functionality (`mv`) and incorporated PyTorch-like conventions. The user's work involved modifying existing files and adding new test cases to ensure functionality.
pytorchcryptographyacquiringpythonscience
aradhyamathur/PySyft
Aug 2017 - Feb 2021
Contributions:21 pushes, 12 branches in 3 years 6 months
deep-learningmachine-learningdeep-learning-libraryencryptedlibrary-learning
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