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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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notthattal/README.md

Hi, I'm Tal Erez

I'm a machine learning engineer with a passion for creating innovative artificial intelligence technologies and a high propensity for learning, mastering advanced technical skills and working collaboratively with others.

Notable Research:

  1. Developing imperceptible perturbations in music to protect artists and prevent ai mimicry
  2. Using sensor data collected from functional electrical stimulation (FES) braces to create a predictive model for early on-set multiple sclerosis
  3. Developing auto-regressive coding agents

Education

  • Duke University | Master of Engineering in Artificial Intelligence
  • University of California, San Diego | Bachelor of Science in Applied Mathematics

GitHub Stats

My Portfolio: Portfolio

My LinkedIn: LinkedIn

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  1. multiple-sclerosis-research multiple-sclerosis-research Public

    An MS Classification Model trained on FES leg brace sensor data. Achieving over 97% accuracy, 99% precision, 95% recall and 97% f1-score

    Jupyter Notebook

  2. Agentic-Chatbot Agentic-Chatbot Public

    Forked from lennox55555/Agentic-Chatbot

    An agentic chatbot powered by Retrieval-Augmented Generation (RAG), web scraping, and API integration

    Python

  3. legal-bert legal-bert Public

    fine-tuned BERT model for predicting legislative bill categories

    HTML 2 2

  4. improviz improviz Public

    Real-Time Voice to Visualization AI

    JavaScript 2 2

  5. MediSeek MediSeek Public

    Forked from lennox55555/MediSeek

    A health chatbot application powered by a Fine-tuned Deep Seek model

    Python 1

  6. LunarLanderProject LunarLanderProject Public

    Deep Q-Learning model for an AI lunar lander

    Python 1