I’m a Munich-based Software Engineer with a strong background in backend development, data engineering, and quantitative systems. I specialize in building scalable, data-intensive platforms that combine software engineering, cloud infrastructure, and applied machine learning. Currently, I work as a Quantitative Software Engineer at Allianz Global Investors, where I design and optimize large-scale financial systems and data pipelines using Python, PySpark, Databricks, and Kubernetes. Previously, at KONUX, I led data infrastructure and algorithm development for predictive maintenance solutions in the railway industry, leveraging AWS, FastAPI, and Terraform. My expertise spans system design, distributed data processing, and performance optimization, with a hands-on approach from architecture to deployment. I’m passionate about solving complex problems and delivering production-ready solutions that scale reliably.…I’m a Munich-based Software Engineer with a strong background in backend development, data engineering, and quantitative systems. I specialize in building scalable, data-intensive platforms that combine software engineering, cloud infrastructure, and applied machine learning. Currently, I work as a Quantitative Software Engineer at Allianz Global Investors, where I design and optimize large-scale financial systems and data pipelines using Python, PySpark, Databricks, and Kubernetes. Previously, at KONUX, I led data infrastructure and algorithm development for predictive maintenance solutions in the railway industry, leveraging AWS, FastAPI, and Terraform. My expertise spans system design, distributed data processing, and performance optimization, with a hands-on approach from architecture to deployment. I’m passionate about solving complex problems and delivering production-ready solutions that scale reliably.WWWW…