Rohan Dubey

Rohan Dubey

Research Intern

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location of Rohan DubeyHyderabad, Telangana, India

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  • Timeline

  • About me

    Associate Data Scientist @ Zee Entertainment | Mathematics and EEE @ BITS Pilani | Interned @ Amazon Alexa, APHRDI, IIT-BHU

  • Education

    • Birla Institute of Technology and Science, Pilani

      2018 - 2023
      Master of Science - MS Mathematics and Electrical and Electronics Engineering

      Integrated dual degree with MSC in Mathematics and BE in Electrical and Electronics Engineering

  • Experience

    • Indian Institute of Technology (Banaras Hindu University), Varanasi

      May 2019 - Jul 2019
      Research Intern

      ~ Simulation of weighted Cost-Sharing Network Game in Multi-cast Routing Networks.~ Planned out the network paths for a hypothetical city using Modified Nash Equilibrium and Graph and Network Theory for better network routing.

    • Andhra Pradesh Human Resource Development Institute

      May 2020 - Jul 2020
      Summer Research Intern

      ~ Qualitative and Quantitative Research on COVID-19 in India to predict and plan out the COVID-19 outbreak.~ Predicted and Plotted the COVID-19 Data using Machine learning tools using a modified SEIR model.

    • Amazon

      Jun 2022 - Nov 2022
      Applied Scientist Intern

      ~ Engineered and developed the methodologies to mitigate the bias of model performance across different clusters of the NLU Model for the Alexa NLU data and achieved equitable learning goals.~ Monitored the Alexa NLU models and assisted in the successful model release.~ Removing language biases using cross-lingual data and data augmentation techniques.

    • Zee Entertainment Enterprises Limited

      Jun 2023 - now
      Associate Data Scientist

      ~ Pioneered the development of India’s inaugural large-scale music model, processing 3.3 billion features from a diverse 5300-hour music dataset spanning 14 genres.~ Employed advanced NLP techniques to design a robust architecture comprising over 50 specialized Nano Music models tailored to individual instruments.~ Orchestrated the integration of all deployments into the MLOps pipeline, guaranteeing optimal operational efficiency and compatibility with industry-standard software and hardware.~ Engineered an SFX Music Model capable of generating Foley sound, harnessing insights from a comprehensive dataset spanning 1000 hours.~ Innovated an AI arranger model, transforming music licks and loops into cohesive musical compositions, thereby streamlining workflow efficiency in music production.~ Show less

  • Licenses & Certifications

    • Neural Network from Scratch in TensorFlow

      Coursera
      May 2020
      View certificate certificate
    • Getting Started: Create and Manage Cloud Resources

      Qwiklabs
      Oct 2020
      View certificate certificate
    • Machine Learning: Regression

      University of Washington | Coursera
      Jul 2020
      View certificate certificate
    • Computer Vision - Image Basics with OpenCV and Python

      Coursera
      May 2020
      View certificate certificate
    • Computer Vision - Object Tracking with OpenCV and Python

      Coursera
      May 2020
      View certificate certificate
    • Facial Expression Recognition with Keras

      Coursera
      May 2020
      View certificate certificate
    • Image Compression and Generation using Variational Autoencoders in Python

      Coursera
      Jul 2020
      View certificate certificate
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      Coursera
      Jul 2020
      View certificate certificate
    • Convolutional Neural Networks in TensorFlow

      Coursera
      Aug 2020
      View certificate certificate
    • Machine Learning Foundations: A Case Study Approach

      University of Washington | Coursera
      Jun 2020
      View certificate certificate