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15 followers · 10 following

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor
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Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor
BetaSend feedback

Organizations

@ucsd-dsc232r-s24
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sayhitosandy/README.md

Typing SVG

  • 👀 I enjoy working on Computer Vision and NLP-based projects. I firmly believe that research outcomes should be equitable to all sections of society, and intend to contribute to the same using novel artificial intelligence-based solutions.
  • 🌱 I’m currently pursuing my Master's in Computer Science at UC San Diego, learning Principles of AI, Computer Vision, BioNLP, and much more!
  • 💞️ I’m looking to collaborate on AI-aaS projects to build interdisciplinary ergonomic AI applications. I intend to push for AI in Medicine and Healthcare.
  • 📫 Drop me a DM on LinkedIn or holler me on my email if you're interested to collaborate on something cool!

👷‍♂️ Skills

📊 Stats for Nerds


Pinned

  1. Mamba_SSM Mamba_SSM Public

    Mamba: Linear-Time Sequence Modeling with Selective State Spaces

  2. shy982/Med-QnA-App shy982/Med-QnA-App Public

    Cross-Platform seamless chat application that performs CDQA + RAG tailored towards Medical Q&A, Carried out as part of MED 277, UCSD Fall '23

    Jupyter Notebook 1 1

  3. shy982/cdqa-ir shy982/cdqa-ir Public

    Experimental comparison of Numerical & Generative Techniques for CDQA and IR, conducted as part of DSC 210 Fall '23 UCSD

    Jupyter Notebook

  4. Two_Phase_NeRF Two_Phase_NeRF Public

    A Two-Phase Training Approach To Boost NeRF Reconstruction Speed

    Python

  5. Neural_Rendering_Survey Neural_Rendering_Survey Public

    Neural Rendering for 3D Reconstruction and View Synthesis: An Overview

  6. Temporal-and-Spatial-Feature-Analysis Temporal-and-Spatial-Feature-Analysis Public

    Forked from AwsManas/Temporal-and-Spatial-Feature-Analysis

    Analyzing Temporal, Spatial, and Historical Data in Rating Prediction Algorithms: A Comparative Study

    Jupyter Notebook