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Purushothaman Saravanan | Darth Kronos

I am a graduate student at North Carolina State University pursuing my masters in electrical engineering with a focus on machine learning and computer vision. I have a strong background in Python and am skilled in using PyTorch and TensorFlow for building deep learning models. Additionally, I have experience in deploying cloud solutions using AWS, and I am always eager to learn about new ways to deploy scalable ML solutions in the cloud.

  • 🚀 Optimizing ML models for edge
  • 🤔 I’m looking for a Spring 2024 Co-op and full-time opportunities in the field of Machine learning

Skills

  • Python
  • PyTorch
  • MLflow
  • Prefect
  • Terraform
  • TensorRT
  • Docker
  • AWS

Connect with me

Purushothaman Saravanan's Projects

awesome-dynamodb icon awesome-dynamodb

List of resources for learning about modeling, operating, and using Amazon DynamoDB

crop-yield-prediction icon crop-yield-prediction

Machine learning (ML) models were engineered after processing agricultural data and Regression models were deployed to predict the yield of 4 major crops. The developed models were then compared with each other to obtain the best performing model.

cross-lingual-ser icon cross-lingual-ser

A cross-lingual SER that can learn language invariant representations without requiring target-language data labels

pidnet icon pidnet

TensorRT implementation for PIDNet

spectrum-sensing icon spectrum-sensing

Using signal processing based features to train and validate machine-learning algorithms to improve spectrum sensing and related problems in cognitive radios.

unsupervised-domain-adaptation icon unsupervised-domain-adaptation

Empirical evaluation and analysis of state-of-the-art methods for unsupervised domain adaptation on OFFICE-31 dataset, a benchmark dataset for visual domain adaptation.

visualizing-cnn icon visualizing-cnn

Visualization technique that gives insight into the function of intermediate feature layers and the operation of a Convolutional Neural Network.

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