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Always Learning
πŸ‘¨β€πŸŽ“
Always Learning
367 followers · 242 following

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Achievements

Achievement: Pair ExtraordinaireAchievement: Starstruckx2Achievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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@COPS-IITBHU

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shreyansh26/README.md

πŸ‘‹ Hi there!

I’m the Director of AI Research at Level AI, where I focus on building and scaling large language models (LLMs) specifically for conversational AI. With over five years of experience in applied AI and research, I’ve worked extensively on end-to-end solutions in NLP and ML systems.

Before Level AI, I worked as a Data Scientist at Mastercard AI Garage, where I developed AI models to enhance transaction security and intelligence. I graduated in 2020 with a degree in Computer Science from the Indian Institute of Technology (BHU) Varanasi.

My technical interests include Natural Language Processing (SFT/RL post-training, inference optimization), ML Systems Engineering - including CUDA and Triton for high-performance computing, Privacy-preserving ML, and Cryptography.

I’m always working on side projects, many of which involve implementing and experimenting with ideas from research papers, efficient kernels and other low-level stuff in LLM training/inference regime. You can find these projects here.

πŸ“« How to reach me

πŸ“• Latest Blog Posts

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

    Annotations of the interesting ML papers I read

    286 28

  2. FlashAttention-PyTorch FlashAttention-PyTorch Public

    Implementation of FlashAttention (FA1-FA4) in PyTorch for educational and algorithmic clarity

    Python 220 26

  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 39 7

  4. Speculative-Sampling Speculative-Sampling Public

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

    Python 111 16

  5. LLM-Sampling LLM-Sampling Public

    A collection of various LLM sampling methods implemented in pure Pytorch

    Python 30 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 11 2