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Working from home
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@PiSchool @ContinualAI

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vijpandaturtle/README.md

Hi 👋, I'm Vijayasri (vij)

I work as a Machine Learning Scientist at Pi School.

  • 😄 My Interests: Multimodal Deep Learning, LLMs, AI Safety & AI for Good. I have done graduate level coursework in public policy, with a specialization in tech and policy.
  • Work projects that I've led or contributed to:
    • Trallie (Lead): A open-source simple modular LLM-based framework for Information Extraction.
    • SCEVA (Co-Lead): A open science initiative funded by the European Space Agency, to develop suite of dataset and domain specific LLMs, which aims to advance the use of Large Language Models (LLMs) for satellite communications.
    • EVE (Contributor): An open science initiative funded by the European Space Agency’s Φ-lab, aimed at advancing the use of Large Language Models (LLMs) for the Earth Observation (EO) and Earth Science (ES) community.
  • Personal Projects
    • Seesaw AI: An initiative and framework to make sense of neural networks of today. In active development.
    • Roadscapes: A multi-task, multimodal dataset for Indian roads and highways.
    • Roadscapes-Video: A multimodal/video dataset for understanding/explaining driving actions/providing driving advice.
  • 📫 You can find me on Google Scholar, LinkedIn, Substack and Medium.
  • 🤹🏽‍♀️ My other interests : Writer, Indian classical Vocalist and a Certified Yoga Instructor.

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  1. eeg-stress-companion eeg-stress-companion Public

    Building an application for stress detection and management using OpenBCI ganglion, PyTorch and AWS.

    Jupyter Notebook 12 3

  2. segmentation-neural-optimization segmentation-neural-optimization Public

    Training a deep learning model to perform segmentation model and optimizing it using advanced techniques

    Jupyter Notebook 1

  3. hydranet-autonomous-driving hydranet-autonomous-driving Public

    A multi-task learning algorithm for autonomous driving tasks

    Jupyter Notebook 12 6

  4. roadscapes roadscapes Public

    Official repository for the Roadscapes dataset

    Jupyter Notebook

  5. roadscapes-video-rag roadscapes-video-rag Public

    A simple demonstration of a RAG use-case with the Roadscapes Video dataset

    Python