Research Projects
Deep Reinforcement Learning for Electricity Trading
Bachelor Thesis • Grade: 1.2 (92%)
Developed a comprehensive reinforcement learning environment for the limit orderbook intraday electricity market. This work involved creating a scientific Python package with optimized runtime performance and MongoDB integration.
Technical Projects
Personal Portfolio Website
Personal Project • 2025
Designed and developed a modern portfolio website using Astro, migrated from Hugo. Features a unified visual design system,
component-based architecture, and responsive design with scroll-triggered animations.
You are currently viewing the latest version!
Repository
LMM Human-AI Collaboration Scaffold,
markdown-based
Personal Project • 2025
Open source scaffold for human-AI collaboration (specifically LLMs).
Part project management and documentation template for collaborative knowledge work, part user guide for best practices in human-AI interaction as well as self directed experimentation and learning
Repository
Ukraine Support Tracker Shiny Implementation
Personal Project • 2024
Leveraged Shiny for Python to create an interactive web application that tracks and visualizes the data from the Ukraine Support Tracker of the Kiel Institute for the World Economy (IfW)
Including no-code ETL (Excel to duckdb) pipeline, interactive visualizations, and deployment on shinyapps.io.
Repository
,
Hosting
Scientific Python Package Development
Fraunhofer IEE • 2022-2024
Contributed to the development of a scientific Python package for deep reinforcement learning in electricity trading, including formal modeling, algorithm and ETL pipeline design, MongoDB deployment, and HPC cluster orchestration using Ray.
Review of "Time and the Generations" by Partha Dasgupta
Private project on Substack • 2024, still running
Conducting an in-depth review and analysis of Partha Dasgupta's lecture "Time & Generation",
focusing on its implications for sustainable development and intergenerational equity.
I think the review provides a good window into my own thinking through sharing how I approached the book over time.
Read on Substack