In a one-month-long workshop at Google in Dublin, Daniel learned how to solve high-impact business challenges using the Google Cloud, AI, and machine learning (ML). In a one week project, he applied this knowledge in a project collaborating with Google Engineers.

For one year, he used these newly learned skills in Europe's leading retail company for consumer electronics, gaining real-world experiences in data engineering, big data, Google Cloud, AI, and ML. Daniel worked six years as a freelancing Software Engineer for fortune 500 as well as small- and medium-sized ("German Mittelstand") enterprises. He has over ten years of experience as a programmer.

For the last 18 month he helped Schwarz Group (Lidl and Kaufland) to bring sensitive data into the cloud. Now he is supporting a Team of ML Engineers to implement and to deploy high impact AI solutions at scale.

His favorite topics are the cloud (GCP with a smile and Azure with some angry tears), data engineering, cybersecurity, web scraping, AI, and ML. His favorite languages are: Python, Ruby, and Go. He also knows Java and JavaScript but doesn't want to talk about it.

Daniel speaks English and German fluently.