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Always Learning
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Always Learning

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shreyansh26/README.md

πŸ‘‹ Hi there!

I am working as a Lead ML Engineer at Level AI. I have more than 3 years of full time experience working on applied AI and research. I have previously worked as a Data Scientist at Mastercard AI Garage as well, where we were leveraging AI to make the transactions world a smarter and secure place. I am a graduate of the class of 2020 in Computer Science from Indian Institute of Technology (BHU) Varanasi. I'm passionate about Natural Language Processing, Privacy-presrving ML, Model Compression and Cryptography. I love to take on interesting major and minor side projects, all of which you can check out here.

πŸ“« How to reach me

πŸ“• Latest Blog Posts

Pinned

  1. Annotated-ML-Papers Annotated-ML-Papers Public

    Annotations of the interesting ML papers I read

    188 16

  2. FlashAttention-PyTorch FlashAttention-PyTorch Public

    Implementation of FlashAttention in PyTorch

    Python 77 13

  3. Extracting-Training-Data-from-Large-Langauge-Models Extracting-Training-Data-from-Large-Langauge-Models Public

    A re-implementation of the "Extracting Training Data from Large Language Models" paper by Carlini et al., 2020

    Python 27 3

  4. Speculative-Sampling Speculative-Sampling Public

    Implementation of Speculative Sampling as described in "Accelerating Large Language Model Decoding with Speculative Sampling" by Deepmind

    Python 46 7

  5. DeepLearning-in-the-Browser DeepLearning-in-the-Browser Public

    Deploy Deep Learning models directly in the browser. Includes code for deploying using Tensorflow.js, WebDNN, and ONNX.js.

    JavaScript 7 3

  6. Linux-Malware-Detection-Research Linux-Malware-Detection-Research Public

    A collection of Linux Malware Detection projects (research paper implementations) done by me.

    Jupyter Notebook 9 4