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.
Languages: Python
Libraries: Numpy, Pandas, Scikit-Learn, fastai, PyTorch, JAX/Flax
Bayesian Optimization: Dragonfly, Ax, BayBE, Honegumi, GPax, Pyro
Large Language Models: Context and prompt engineering with LLMs. Integration with MCP Server and Client configurations, Ollama and OpenWebUI.
Databases: Qdrant, PostgreSQL
IDEs: Cursor, VSCode
Other: Docker, Git, PowerBI, MATLAB