Daniel Werner ☁ Email & Phone Number

Esslingen, Baden-Württemberg, Germany

• Designed and implemented a Kubernetes-based Developer Platform for a medical AI sleepresearch project, deploying a GPU cluster directly within the sleep lab to ensure datacompliance, as data was restricted from leaving.
• Built a robust bare-metal edge computing environment that integrated edge computing withMLOps using Kubernetes, creating a seamless, on-premise solution optimized for machinelearning workloads.
• Played a key role in the design of the Golang microservice system (more details in Skills).
• Collaborated with the team to develop a WebUI that enables doctors to upload sleep data,initiate training in anomaly detection and forecasting modes, and view results—optimized fortime series analysis.
• Helped to adapt the platform for a second project with a startup collaborating with Bayer todevelop a novel smell sensor, enabling a data-driven engineering approach using the samecomponents.

Stuttgart, Baden-Württemberg, Germany

The abstract goal of this company is to develop a digital platform that enables a new level ofbusiness process management that is deeply integrated with a social network.Imagine kind of a hybride between GitHub, X.com & a BPM app.The platforms nature allows for its recursive development via the platform itself.Discussion → Decision → Action → Action.

Munich, Bavaria, Germany

• Core member of a team specializing in AI-driven engineering to analyze and correlate sensordata for predicting and preventing machine failures for a global offset printing leader inHeidelberg. Spent four weeks on-site.
• Developed solutions that optimized production processes through precise data analysis. Ourdata-driven approach revealed patterns in the sensor data that significantly reduced wasteduring the startup phase, minimizing.
• This was my only project to date without Kubernetes, relying instead on PyTorch andHeidelberger Druckmaschinen’s AWS infrastructure.

Böblingen

• Part of the on-site team responsible for advancing the development of a Kubernetes-based GPUcluster, running in parallel with the organization’s Azure ML Ops environment. The GPU clusterincluded approximately 40 NVIDIA.
• As a team, we significantly enhanced accessibility to the GPU cluster through a GitOps-basedML Ops approach built on GitLab CI, Polyaxon, and Kubeflow. We experimented with CDEswithin our cluster to enable much.
• Additionally, led a workshop for the entire department (comprising ~50 employees)demonstrating best practices for using the GitOps-based CI/CD system and effectively utilizingCDEs for streamlined workflows.

Berlin, Germany

• Contributed to the founding of the Berlin Lab of Porsche Digital by setting up one of its firstKubernetes clusters, based on OpenShift as per project requirements. I was the only studentfrom MHP involved in this.
• Thoroughly enjoyed my time on-site in Berlin, collaborating closely with the team. This projectwas one of my most intensive learning experiences, giving me the opportunity to build aKubernetes infrastructure from the.

Ludwigsburg

• Quickly established a professional network within the company, broadening my connectionsacross departments.
• Advanced to the Intelligent Software Department with support from my manager, who facilitatedmeetings with key personnel who endorsed my move, allowing me to delve into cloud and AIdevelopment.
• Built expertise in cloud and AI within the Intelligent Software Department, leveraging my initialrole in Java application management to progress into advanced technical domains.

Ludwigsburg

• Launched my career in the Application Management Department, joining a Java-based projectfor Continental in my first semester, aimed at preparing a predictive maintenance case for fleetmanagement.

Bachelor Of Business Administration - Bba, It-Management

Abitur, Informationstechnik