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michailmitsakis/README.md

Hi there 👋, I'm Michail

👨‍💻 About Me

I'm a motivated engineering graduate from Greece looking to combine my materials science skills with machine learning towards developing sustainable and impactful projects.

🛠 Tech Stack

Languages: Python

Python Libraries: NumPy, Pandas, Scikit-Learn, fastai, PyTorch for Deep Learning, PyTorch for Bayesian Optimization (Dragonfly, Ax, BayBE)

Large Language Models: Experience with prompt engineering for large language models

Other: PowerBI, PostgreSQL, MATLAB

📊 GitHub Stats

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🤝 Connect

Reach out to me on LinkedIn or my E-mail!

Popular repositories Loading

  1. michailmitsakis michailmitsakis Public

  2. code_mqs code_mqs Public

    Multi-objective Bayesian optimization for physical experiments with Ax.

    Jupyter Notebook

  3. baybe_project-surface-science-syndicate baybe_project-surface-science-syndicate Public

    Project from Team 7 - Surface Science Syndicate; developed in competition for the 2024 Acceleration Consortium Bayesian Optimization Hackathon. Achieved 3rd place out of 44 competitors.

    Jupyter Notebook

  4. pytorch_for_deep_learning_exercises pytorch_for_deep_learning_exercises Public

    Exercise solutions based on my work on the Udemy course "PyTorch for Deep Learning Bootcamp".

    Jupyter Notebook

  5. ai_sci_eng_ETH-24 ai_sci_eng_ETH-24 Public

    Notebooks of "AI in the Sciences and Engineering (2024) - ETH Zurich - Spring Semester 2024" course.

    Jupyter Notebook