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Hi there, I'm Rohit, ML Engineer šŸ‘‹

I graduated from GGSIPU Delhi and immediately after my graduation I joined my first organisation, Episource LLC as a Data Scientist. Later on I joined Lightning AI as a Research Engineer. I have a keen interest in machine learning and deep learning research, especially in a field of NLP and Speech.

  • šŸ”­ Iā€™m currently working with Curious Machines on their stealth product. Also working an ML project as a side-hustle.
  • šŸŒ± I love to code and contribute to Open Source.
  • Used to particate in Kaggle competitions.
  • šŸ’¬ Ask me anything regarding my work, code and research here (Please tag me @rohitgr7 in your comment.).
  • šŸ“« Reach out: @imgrohit

Connect with me:

imgrohit | Twitter rohitgr7 | Twitter rohitgr7 | Twitter


Languages and Tools:

Python

PyTorch

Visual Studio Code

AWS

Github

Ubuntu

Docker



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rohitgr7

Rohit Gupta's Projects

black-action icon black-action

A GitHub action that runs black code formatter for Python

budgety icon budgety

Single page app with html to manage daily budget

colabcode icon colabcode

Run VSCode (codeserver) on Google Colab or Kaggle Notebooks

embedchain icon embedchain

Framework to easily create LLM powered bots over any dataset.

examples icon examples

Example deep learning projects that use wandb's features.

facenet-tf icon facenet-tf

Face recognition and verification with tensorflow

fastai icon fastai

The fastai deep learning library, plus lessons and tutorials

fastai_docs icon fastai_docs

dev notebooks (for docs see http://docs.fast.ai and https://github.com/fastai/fastai)

keras-opt icon keras-opt

Implementation of some new techniques from fastai and other papers which works with keras models

langchain icon langchain

āš” Building applications with LLMs through composability āš”

lightning-flash icon lightning-flash

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

lightning-transformers icon lightning-transformers

Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.

ml-101 icon ml-101

Machine learning and deep learning notebooks

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