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michailmitsakis/README.md

Hi there 👋, I'm Michail

👨‍💻 About Me

I'm a motivated engineer and energy consultant from Greece looking to combine my materials science skills with machine learning towards developing sustainable and impactful projects in materials informatics and towards combatting climate change.

🛠 Tech Stack

Languages: Python

Python Libraries: NumPy, Pandas, Scikit-Learn, fastai, PyTorch for Deep Learning, Bayesian Optimization - (Dragonfly, Ax, BayBE, Honegumi, GPax, Pyro), JAX/Flax

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