- π I am a fifth year PhD student in the Electrical and Computer Engineering Department at Purdue University.
- β‘ I primarily design algorithms on Privacy-Preserving Machine Learning with Differential Privacy and Federated Learning.
- π± I also design graph and dimensionality reduction algorithms for computational social sciences.
- π― Some other stuff I love: startups, new adventures and finding cool places while travelling!
- π¬ Ask me about: Applying to graduate school, collaborating over new research projects or anything related to startups.
- π« You can check out my resume at Resume and the easiest way to reach me is via my LinkedIn.
π―
Focusing
Ajinkya Mulay is a PhD student in the Electrical and Computer Engineering department of Purdue University. Previously an undergrad at IIT Hyderabad in EE.
- West Lafayette, IN, USA
- thehimalayanleo.github.io
Highlights
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Private-Machine-Learning
Private-Machine-Learning PublicReference materials and codes for machine learning. Includes implmentations of privacy and security algorithms.
Jupyter Notebook 1
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Private-Generative-Models
Private-Generative-Models PublicFinal Project for ECE695 (Generative Models) at Purdue. Scalable Implementations of:
Jupyter Notebook 2
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MLForResearchScientists
MLForResearchScientists PublicA process for creating ML workflows for any researcher.
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