Skip to content
View michailmitsakis's full-sized avatar
16 followers · 60 following

Block or report michailmitsakis

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
michailmitsakis/README.md

Hi there 👋, I'm Michalis

👨‍💻 About Me

I'm a motivated engineer and business consultant in the energy sector, experienced in and passionate about decarbonization, sustainable energy solutions and accelerating R&D for low-carbon technologies. Specialized in electrochemistry, clean hydrogen and machine learning for materials design. I am goal-driven, action-oriented and excel in a collaborative environment. Seeking to grow my skillset and contribute to the green transition through my generalist mindset, while finding creative solutions to complex problems.

🛠 Tech Stack

Languages: Python

Libraries: Numpy, Pandas, Scikit-Learn, fastai, PyTorch, JAX/Flax

Bayesian Optimization: Dragonfly, Ax, BayBE, Honegumi, GPax, Pyro

AI/LLMs: Context engineering. Experience with local workflows (RAG using Ollama/LMStudio/AnythingLLM and OpenWebUI), agent harnesses (Hermes, Claude Code, Open Code) and associated custom MCPs & plugins.

Databases: Qdrant, PostgreSQL

IDEs: Cursor, VSCode

Other: Docker, Git, PowerBI, MATLAB

🤝 Connect

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

Popular repositories Loading

  1. michailmitsakis michailmitsakis Public

  2. Ax_bayes_opt_NiW Ax_bayes_opt_NiW Public

    Multi-objective Bayesian optimization for electrochemical 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

  6. fantasy-book-assistant fantasy-book-assistant Public

    This is your friendly assistant for helping you pick your favorite fantasy and sci-fi books. It's a RAG app built built as part of the LLM Zoomcamp 2025 Edition.

    Jupyter Notebook