Stuttgart Region
As a Big Data Engineer and DevOps Architect, I bring the following key offerings: - Exceptional ability to translate client needs into practical solutions and identify the best options. - Proactive, team-oriented approach with over 16 years of software development experience (Python, Java, C#, JavaScript, PHP). - Over 5 years of experience in Cloud systems (OpenShift, Kubernetes, AWS) and build systems (Jenkins, Atlassian Bamboo, GitLab, TeamCity). - Expertise in various OSes, scripting languages, and systems including Linux, Windows, Bash, PowerShell, Terraform, and databases (MySQL, PostgreSQL, MSSQL). - Extensive IT knowledge, combining experience as a Software and Network Engineer. History: Everything started when I was 14 years & got a Compaq computer for christmas... In 2002-2005 graduated as IT specialist (Fachinformatiker Systemintegration). Field of IT systems & networks. 2006 focused on IT support & consulting by founding company in 2006. Cooperated with IT partners from the Stuttgart area. 2006 after reaching limits, started the study of "E-Services". Whilst my studies (end of 2009) joined Componence (Dutch company) as a Social Media Software & Concept developer. There gained insight into Social networks & business. Part of work was to reuse, unite & edit data of various API's (LinkedIn, facebook, twitter & more). Nov 2011-2013 I reconnected with bus. partner (0711-Systems), which launched the e-shop bachflohkrebse.de (4000+ products and 10000+ customers) for fishkeeping, terraristik and koi products. Took the role as a DevOps Developer maintaining the Online-Shop and and warehouse system. Jun 2013-2015 gained experience as a entrepreneur & freelancer strongly focusing on web service developing websites and -services. Started actively growing my network. One project has been with the client akademie-sml.de, where I have build up a unique street-view like 3D animated virtual web platform for businesses (i-panda.de). More over 300+ local businesses were involved. From 2015-2018 worked at diconium a service provider for the process of digital transformation. Worked as Software Engineer in more then 5 different projects. We worked agile (Scrum) and in the field of eCommerce & customer marketing. 2018 Came back to freelancing. Since then I have worked in more then 6 different projects. Now I focus only on python, big data and devops engineering. http://ieservices.de/impressum/
I plan and build private AI infrastructure for mid-sized companies across the DACH regio. Local, in-house, no cloud, GDPR-compliant. Focus areas: - On-premise LLM deployment (Ollama, llama.cpp, vLLM) - AI integration into existing ERP and workflow systems - Proxmox-based virtualization environments - AI-driven workflow optimization — iterative, measurable, no megaproject risk - Own product: Lager.AI (AI-powered warehouse management) Background: 20+ years of software architecture and engineering. Today focused on what most European companies have not yet mastered. AI that runs entirely in their own house, without data going to OpenAI, Microsoft, or Google. Serving: Manufacturing - Healthcare - Legal - Finance - Public sector - industries where data protection is non-negotiable.
Planned, integrated, and tested build pipelines using Bamboo Java Specs, optimizing continuous integration and deployment processes. The projects are including deployments for Java, C#, SSDT, SSRS and applications. Verified project integrity across multiple initiatives and upgraded frameworks like C# and MSBuild to ensure cutting-edge standards. Implemented deployment tools for Windows Reporting Servers and integrated them into Bamboo pipelines, streamlining deployment workflows. Built a complete build pipeline from scratch for a major Java application, managing packaging with ProGet for Maven and NuGet packages. Also using Powershell Scripts to implement parts of the pipelines processes. Developed a comprehensive build and deployment framework in Java that adhered to global data governance policies. Contributed to the improvement of data governance rules within build processes, driving greater operational efficiency. Managed full build and deployment lifecycles, ensuring seamless transitions from development to production. Coordinated production deployments by collaborating with key stakeholders responsible for the targeted projects, ensuring smooth and timely execution. Regularly communicated with management to align objectives and clarify technical requirements, ensuring project success. Additionally planned production deployment This summary showcases my ability to innovate, integrate, and optimize processes in complex development environments, contributing to overall operational success. Tech-Stack: Java, C#, Msbuild, dotnet, PowerShell, MSSQL
Working as Product Owner and Senior Engineer (freelancer) for python projects. Focus AI, Machine Learning and Big Data.
Small, effective IT- administration and maintenance. Experience about IT over 10 years. Recently going to add webservices.
App for office administration for self-employed, small businesses and workmen/craftsmen. Quick, safe and reliable handling of daily office and booking tasks. • Data ownership is centric; the objective is a cloud independent solution. • Primarily responsible for planning and structuring, as well as the hardware system based on a customized single board computer. • Usage of data mining and text-analytics, as well as machine learning suggestion and deep learning for OCR recognition. - Extracted template structures and accounting data from invoices using Tensorflow/OpenCV
Advising the customer on system expansion, maintenance, system processes. The aim of the consulting is to optimize, stabilize, ensure the future viability and scalability of the software used. In addition, I am responsible for the implementation of the target concepts agreed by the customer, the software updates and rollouts.
Role as Senior Backend Engineer / Data Engineer within in DevOps working mode on the project BRASS. BRASS (Benefit Risk Assessment System) uses artificial intelligence to conduct an initial analysis of adverse reactions to medications that have already been approved to identify potential side effects and undesirable events and offers a valuable decision-making tool for those working in pharmacovigilance, helping them process each case more quickly. Within this project I initially restructured the MVP in close cooperation with the management the GraphQL backend with Typescript into a workable and maintainable service architecture. Then after one year I switched into a Data Engineering Role to build a validated ETL pipeline with processing up to 80 millon medical records. Processing of data in various forms and APIs. CSV, TSV, XML, JSON, ASC. Working with python (pandas), Apache Hadoop, Apache Spark / pyspark (Hue), nodejs, typescript, Elasticsearch, GraphQL + Angular, Apache Airflow, Flask. DevOps and CD with OpenShift, Kubernetes, helm and an ELK-Stack. Worked in Scrum for 9 years (Team sizes: 4- 14 people)