Experience

USC Viterbi School of Engineering

• United States
• Higher Education
• 700 & Above Employee

• Course Producer

  • Aug 2023 - Present

• Research Assistant

  • Mar 2023 - Aug 2023

  I was a Research Assistant in the Department of Computer Science at USC Viterbi, advised by Prof. Vatsal Sharan, where I contributed to an open source project [Tensor Toolbox] on tensor decomposition methods, and worked on a faster C++ implementation of a random forest based anomaly-detection algorithm [PIDForest].



DeGirum Corp.

• United States
• Semiconductor Manufacturing
• 1 - 100 Employee

• Machine Learning Software Intern

  • May 2023 - Aug 2023

  Developed an ONNX OCR pipeline with pre and post-processor modules compatible with edge-hardware [OCR Deep Dive]. Worked on a NumPy-only implementation of vision-based PyTorch operators such as Conv2D, MaxPool, among others, and published as a PyPI package [beaverpy]. Developed an ONNX OCR pipeline with pre and post-processor modules compatible with edge-hardware [OCR Deep Dive]. Worked on a NumPy-only implementation of vision-based PyTorch operators such as Conv2D, MaxPool, among others, and published as a PyPI package [beaverpy].



Indian Institute of Science (IISc)

• India
• Research
• 700 & Above Employee

• Project Associate - I

  • Aug 2021 - Jul 2022

  I was Project Associate - I at DREAM:Lab, IISc Bangalore, advised by Prof. Yogesh Simmhan, where I worked on performance characterization of Nvidia Jetson edge-accelerators on deep learning workloads, and also on a Federated Learning project. I was Project Associate - I at DREAM:Lab, IISc Bangalore, advised by Prof. Yogesh Simmhan, where I worked on performance characterization of Nvidia Jetson edge-accelerators on deep learning workloads, and also on a Federated Learning project.