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Hi πŸ‘‹, I'm Atharva

Teaching machines to learn, one byte at a time

Welcome to my Profile. This is an overview of all the work I did and I'm planning to do.

Contact Me

Hit me up on any platform on my linktree or the ones mentioned below if you want to have a talk!

Other platforms

twitter linkedin twitter kaggle W&B YouTube

About Me

  • πŸ”­ I am Data Scientist at Wolters Kluwer where I work mostly on Document AI and LLMs, developing end-to-end MLOPs pipelines for extracting information from PDFs.
  • πŸš€ I am an Ambassador for Weights & Biases
  • πŸ‘― I’m looking to collaborate on Kaggle Competitions
  • πŸ’ͺ I love contributing to open-source libraries.
  • ⚑ Fun fact: I love to participate in Machine Learning competitions and I'm a Kaggle Competition Expert and highly active there

Recent work

I was a speaker at inaugural Weights & Biases MLOps conference (Fully Connected 2023). You can listen to my talk here. [Announcement LinkedIn Post]

πŸ›  My Projects

Click on the project name to directly go to it's GitHub Repository and click demo app to see a live demo of the project

πŸ† Achievements

Click on the competition name to go to it's overview page and click solution + code links to see the approach and source code

πŸ“ Open-Source Contributions

  • Fixed an example script on HuggingFace πŸ€— transformers repository for XLA devices - [PR]
  • Made the experiment trackers to launch only on main process in distributed setups on πŸ€— Accelerate library - [PR]
  • Fixed several examples and removed the check for main process after fixing the tracker's initialization on all processes on πŸ€— Accelerate library - [PR]
  • Update several πŸ€— transformers no_trainer scripts leveraging πŸ€— Accelerate to remove the check for is_main_process while initiating trackers by accelerator.init_trackers() as this issue was fixed by me in this PR - [PR]
  • Contributed a report to Weights & Biases showcasing the integration of MONAI and W&B - [PR]

TODO: add more contributions

✍️ Blogs

πŸ’ͺ Currently working on

  • Kaggle competitions and Open-Source :)

Atharva's github stats


  1. Harvestify Harvestify Public

    A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.

    Jupyter Notebook 389 368


    Personal Voice Assistant made with Python and has a cool looking GUI

    Python 278 167

  3. U.S.-Patent-Phrase-to-Phrase-Matching-Kaggle U.S.-Patent-Phrase-to-Phrase-Matching-Kaggle Public

    31st place silver medal solution to USPPPM Kaggle competition

    Python 20 4

  4. Bristol-Myers-Squibb-Translation-Kaggle Bristol-Myers-Squibb-Translation-Kaggle Public

    50th place solution of a Kaggle competition where we were given the task to translate old chemical images to its Inchi

    Python 1

  5. Text-to-image-synthesis-with-AttnGAN Text-to-image-synthesis-with-AttnGAN Public

    Text to Image Generation using Attentional Generative Adversarial Networks

    Python 25 16

  6. Sartorius-Neuronal-Cell-Segmentation-Kaggle Sartorius-Neuronal-Cell-Segmentation-Kaggle Public

    A bronze medal solution to the Kaggle Challenge -> Sartorius - Cell Instance Segmentation

    Python 2