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Madhusakth/README.md

Hi there 👋

I currently hold the position of Senior Video Research Engineer at Qualcomm, where I focus on developing deep learning models to estimate depth and optical flow for autonomous driving applications.

Prior to this role, I completed my Ph.D. in Electrical and Computer Engineering at The University of Texas at Austin. Under the guidance of Prof. Ahmed Tewfik, my doctoral research was centered around developing novel algorithms for efficient radar data acquisition for automotive scenarios and deep learning model compression.

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  1. Adaptive-Radar-Acquisition Adaptive-Radar-Acquisition Public

    Adaptive automotive radar data acquisition

    Python 1

  2. BCI-Sentence-Silence-Spotter BCI-Sentence-Silence-Spotter Public

    This is the code to our Sentence spotter, Phoneme vs. Silence and Audio vs. Audio-visual models submitted to NER 2021 conference.

    Jupyter Notebook 1

  3. Face-To-Year-Prediction Face-To-Year-Prediction Public

    Python

  4. NLP-Neural-Networks-for-Sentiment-Analysis NLP-Neural-Networks-for-Sentiment-Analysis Public

    Neural Networks for Sentiment Analysis

    Python

  5. Reproducible-radar-object-detection Reproducible-radar-object-detection Public

    A collection of reproducible radar object detection source code with the pdf link

  6. foss-xtensa/Bin_And_Quant foss-xtensa/Bin_And_Quant Public

    Jupyter Notebook 1