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JohnGrigoriadis/README.md

Hello, I'm Ioannis! πŸ‘‹

I'm an AI Engineer with a minor in Data Science and a VU CI Group Member dedicated to developing intelligent systems that drive innovation and efficiency. My expertise spans machine learning, deep learning, and natural language processing, with a focus on creating scalable AI solutions.

πŸ”§ Technologies & Tools

  • Programming & Tools: Python, NumPy, Pandas, Scikit-learn, Git, Docker
  • Deep Learning: PyTorch, TensorFlow, Keras, HuggingFace Transformers
  • Computer Vision & NLP: YOLO, OpenCV, LLM fine-tuning, BERT
  • Other: SQL

πŸ› οΈ Projects

ARIEL (Ariel: Autonomous Robots through Integrated Evolution and Learning)

ARIEL is the successor to the Revolve2 Evolutionary Programming and Robotics platform created by the CI Group at Vrije Universiteit. It addresses many of the shortcomings of Revolve and improves performance. I worked with CI Group to make this platform a reality and make it usable for programmers and not-programmers alike.

Learning generalist behaviour for traversing different terrains

The paper addresses the limited understanding of robustness and generalisability in neuro-evolutionary methods, specifically focusing on artificial neural networks (ANNs) used in control tasks, such as those applied in robotics. In the paper, we test the generalisation ability of BipedalWalker controllers when traversing multiple different terrains.

Minesweeper

I wanted to challenge myself to make the classic Windows game Minesweeper in Python all by myself without any help: some documentation, no ChagGPT or Copilot. Turned out better than I expected for only a few hours of work.

πŸ“ˆ GitHub Stats

My GitHub Stats

πŸ“« Let's Connect

I'm always open to collaborating on exciting AI projects or discussing the latest advancements in artificial intelligence. Feel free to reach out!

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  1. generalist-controllers-terrain generalist-controllers-terrain Public

    Python 1

  2. ci-group/ariel ci-group/ariel Public

    ARIEL: Autonomous Robots through Integrated Evolution and Learning

    Python 31 51