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.
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.