DevOps Engineer and master's student in International Software Systems Science at the University of Bamberg. I build and operate end-to-end systems across cloud infrastructure, automation, CI/CD, Kubernetes, observability, and MLOps turning ideas into scalable, automated, and production-ready platforms.
A cloud-ready platform for infrastructure monitoring, anomaly detection, incident analysis, and automated troubleshooting. It processes telemetry, searches runbooks for relevant fixes, and integrates monitoring and alerting workflows.
- Tools:
Python•FastAPI•PostgreSQL•Redis•Prometheus•Grafana•ChromaDB•Docker•Kubernetes
An ML microservice for real-time and batch customer-churn prediction, with feature explanations and data-drift monitoring.
- Tools:
Python•Scikit-Learn•FastAPI•Streamlit•Evidently AI•Docker
A backend data pipeline for ETL processing, data validation, database integration, and analytics APIs.
- Tools:
Python•Pandas•SQLAlchemy•PostgreSQL•FastAPI
A retrieval-augmented support tool that analyzes technical problems and retrieves relevant troubleshooting procedures from a knowledge base.
- Tools:
Python•FastAPI•Vector Search
- DevOps & Infrastructure Automation
- Cloud Engineering & Platform Reliability
- Kubernetes & Container Orchestration
- CI/CD Pipelines & Infrastructure as Code
- System Observability & Monitoring
- AI-Assisted Operations & MLOps