A water-cutting machine's rubber cover kept breaking within minutes, causing sand and water damage. A Proof of Concept tested 3D-printed replacements using Nylon with Carbon Fiber, extending durability from 5 minutes to over 20 hours (240x improvement). Next steps involve setting up in-house 3D printing capabilities, training, and production setup. Click here for more info.
A web content creator explored Generative AI and needed a production setup. The project included hardware and software implementation, covering networking, server setup, and Linux, Docker, CUDA, and NVIDIA Container Toolkit configuration. Multi-GPU utilization was tested, and automation, documentation, and integration testing were developed for ongoing support. Click here for more info.
This project involves the largest Office Supplies reseller in Germany, that is rebuilding its cloud infrastructure using OpenStack. State-of-the-art tools like Kubernetes, Helm, Ansible, Terraform and ArgoCD are used for deployment. The scope includes data related topics too, like an Apache Hadoop/Spark migration.
Consultancy project to design, plan and support the development of an Android Native app using Flutter. Core features included edge AI processing of imagery to QA business processes. Click here for more info.
Consultancy project to validate the current code-base of a newly developed application and support further development, architecture and documentation. Click here for more info.
Consultancy project for roadmapping digital transformation in the process industry focussing on OT and IT systems and what infrastructure can enable data-driven decision making within the organization. Click here for more info.
As a former Tech Lead Platform at Keelvar, I held the responsibility of managing the platform team and supervising the development, maintenance, and enhancement of essential services for the sourcing and procurement SaaS platform. The scope included: DevOps engineering, Infrastructure as Code (IaC), and CI/CD processes.
As a Product Owner in the IoT space, I was responsible for hardware and software development, manufacturing, production, and service delivery. Additionally, I was tasked with rescuing failing projects by connecting requirements, scope, and budget with development teams and stakeholders.
As a Data Scientist, I spearheaded the building of a data-science/-engineering team, achieving exceptional results that ultimately led to my promotion to Manager of Data and Technology. Notably, I developed an Auto-ML pipeline for the CBM solution, utilizing maintenance records and sensory data to deliver fast, cost-effective, and easily interpretable insights. Additionally, I designed and implemented a cloud-based event-driven solution in Azure specifically tailored for CBM. Other activities included R&D projects in the areas of IIoT and Smart Sensoring, focusing on edge-processing and hybrid modeling, while securing funding to support these initiatives.
During my PhD candidacy, I conducted research on algorithmic transparency and GDPR-compliance at Business Intelligence & Smart Services (BISS) research organization. I presented my findings on an AI project at INFORMS in Phoenix, Arizona. Additionally, I supported projects that utilized computer vision and AI technologies by setting up the hardware and software for ML and AI.
For more details about my experiences, please check out my LinkedIn page.