Software Engineering student @ HTW Berlin | Machine Learning & Deep Learning | Building software and the infrastructure it runs on (Linux, Proxmox, Docker, AWS)
Software Engineering student at HTW Berlin, focused on machine learning and systems engineering.
- Machine learning: supervised learning and deep learning in Python. Data cleaning, feature engineering, model training and evaluation with pandas, NumPy, scikit-learn and PyTorch. Completed an end-to-end classification project on the Kaggle cardiovascular disease dataset (70,000 records), covering EDA, preprocessing and comparison of multiple classifiers on accuracy, precision, recall and ROC-AUC.
- Systems and infrastructure: I operate a self-hosted Proxmox VE environment with VMs and LXC containers, segmented networking, reverse proxy with automated TLS, scheduled backups and monitoring. Working knowledge of Linux (Debian/Ubuntu), Docker, Bash and Git. Currently extending this toward AWS and cloud infrastructure. Software development: TypeScript and Python, with side projects covering frontend architecture, state management and interaction design.
I also maintain LargeLanguageMind, a public technical journal on machine learning, neuromorphic computing and the foundations of intelligence. Journal: theminddeveloper.github.io/LargeLanguageMind
Conntacts: theminddevlab@gmail.com