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.
Track-Record
Oct 2023 - Mar 2023
Interim Senior DevOps Engineer
Aug 2023 - Oct 2023
Inventory Management App with AI
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.
Jun 2023 - Aug 2023
Fashion and AI
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.
May 2023 - Jul 2023
Industry and Digital Transformation
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.
Nov 2022 - Mar 2023
SaaS @Keelvar
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.
Jan 2022 - Oct 2022
IoT @GrandCentrix
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.
June 2019 - Oct 2021
AI @Sitech
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.
Jan 2018 - Mar 2019
Academia @BISS
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.
< Jan 2018
For more details about my experiences, please check out my LinkedIn page.