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Hi there 👋

I am a Research Scientist (ML/AI) at Zapr driving their key NLP and Recommendation Systems projects. I have a keen interest in ML research and am working on some research ideas myself in NLP domain. I also enjoy building products and try to maintain full stack knowledge. The dream is to be one of the biggest contributors to the field of AI and through that generate an enormous impact to shape the future of everyone.

👋 Open for opportunities in ML domain
👐 Open for collaboration on projects
😊 Happy to speak at meetups or tech conferences

Reach out to me. I like hoomans.

Twitter Follow Linkedin: bhavul

Carpe Diem.

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  1. In this mini-experiment, I build a classifier that finds if the person(s) in a given image are happy or not.

    Jupyter Notebook

  2. A JIRA Bot that can train a machine learning model and comment related JIRA IDs on a list of JIRA issues.

    Jupyter Notebook 14 11

  3. This is a try at generating a big dataset of hinglish, which currently does not exist


  4. A simple twitter bot that runs on raspberry pi and could return its IP address and more info.


  5. Multiple approaches tried for Object classification on Caltech 101 Dataset

    Jupyter Notebook 4 4

  6. 1
    ### Troubleshooting Convolutional Neural Networks 
    #### Intro
    This is a list of hacks gathered primarily from prior experiences as well as online sources (most notably [Stanford's CS231n]( course notes) on how to troubleshoot the performance of a convolutional neural network . We will focus mainly on supervised learning using deep neural networks. While this guide assumes the user is coding in Python3.6 using tensorflow (TF), it can still be helpful as a language agnostic guide.

7 contributions in the last year

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Activity overview

Contribution activity

June 2022

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