• Working on performance optimization of deep learning models

Software System Designer 1 at AMD

• Worked on ML Graph surgery and optimization
• Worked on the development of an internal tool for model optimization at the graph level for performant execution
• Frequently performed accuracy and performance benchmarking for over 25 machine learning models and worked on automating the same
• Quarterly Spotlight Award for High Performance — Q2, 2023

Machine Learning Intern

PESU Venture Labs

Worked on a product that tracks the posture of the person. Experimented with several popular architectures that are being used in Image Processing using Transfer Learning. Attempted to find a novel approach similar to 1-shot learning to tackle the problem of scarce data.

Research Intern

Center for Data Sciences and Applied Machine Learning (CDSAML)

Given a dataset from a bank about fraudulent and anomalous transactions with normal transactions, we tried to find what parameters made the transactions fraudulent and find them. We tried to generalize it so that we could avoid any future anomalous transactions if the parameters of the transaction matched the parameters we found.

Student at PES University

I am a Software System Designer 1 at AMD, working on performance optimization of deep learning models. I joined AMD as a Machine Learning Intern in Jan 2023, where I worked on ML Graph surgery and optimization, and developed an internal tool for model optimization at the graph level for performant execution. I have completed my Bachelor's degree in Computer Science at PES University, where I have acquired skills in Machine Learning, Python, Deep Learning, and a bit of Quantum Computing.

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