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Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2

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yohannestayez/README.md

Hello, I'm Yohannes Taye

ML/AI Engineer and Researcher experienced in building agentic systems, RAG systems, predictive modeling, and symbolic AI. Passionate about researching on neural networks and leveraging cutting-edge AI technologies to drive innovation, contribute to the advancement toward AGI, and deliver impactful, real-world solutions.

Interests

  • Neural network architectures, innovation and applications
  • Large Language Models & Generative AI
  • Autonomous agents and orchestration
  • Data-centric AI, scalable ML engineering

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  1. Reinforcement-Learning Reinforcement-Learning Public

    RL projects featuring DQN, PPO, and Unity ML-Agents implementations. Agents are trained across diverse environments, from a Pygame-based Chrome Dino game (gymnasium) to Minecraft tasks (MineRL PPO)…

    Python

  2. Building-a-data-warewhouse Building-a-data-warewhouse Public

    This project aims to build a data warehouse to store and analyze data from Ethiopian medical businesses, collected from web scraping and Telegram channels. By integrating object detection with YOLO…

    Jupyter Notebook 1

  3. Detection-of-fraud-cases-for-e-commerce-and-bank-transactions Detection-of-fraud-cases-for-e-commerce-and-bank-transactions Public

    A complete workflow for data preparation, machine learning model training, and interpretation, focusing on credit scoring and fraud detection. It utilizes explainable AI techniques like SHAP and LI…

    Jupyter Notebook 1

  4. Dorners-Psi Dorners-Psi Public

    Using Dorner’s Psi Theory for emotion simulation, with Langchain

    Python