TensorFlow Experts in Frankfurt

• Architect AI strategies and smart business processes for companies implementing AI initiatives.
• Focus on pragmatic and trustworthy AI integration delivering tangible operational value.

AI-powered platform for automated UX validation and designer support

• Designed and led technical implementation of an enterprise-wide AI solution for automated UX review that improved design quality and significantly reduced manual review processes in teams
• Developed an automated UX validation tool as a Figma plugin and web application that generates test cases based on internal guidelines and reliably checks current designs for consistency and standard compliance
• Implemented an interactive designer chat based on RAG that answers questions about the current design and the company's UX guidelines, and designed the deployment architecture using containerized services
• Python, Azure OpenAI, PostgreSQL, REST API, Docker, OpenShift, Helm, CI/CD, Figma MCP, LLM, RAG, Prompt Engineering, GenAI, XAI, AI Architecture, AI Strategy

• Directed global digital transformation programs enabling enterprise adoption of AI-powered retail analytics solutions
• Led migration from legacy platforms to cloud-based ecosystems, improving data processing performance by over 40%
• Served as strategic technology advisor to enterprise customers, aligning technology roadmaps with business objectives
• Managed cross-functional global teams of 100+ resources across multiple regions

• Intensive language course with a focus on professional language content.

• Spearheaded the development and deployment of a Generative AI solution tailored for the automotive industry focusing on improving customer experience through AI-driven innovations.

• Conducted in-depth market research to understand unique challenges and opportunities within the automotive sector by analyzing industry trends, customer pain points, and competitive offerings to inform the product strategy.

• Formulated a strategic vision for the Generative AI solution targeting personalized customer experiences, aligned product vision with the company’s long-term goals and automotive market demands.

• Enhanced customer satisfaction by introducing personalized AI-driven features, achieving a 15% increase in customer engagement and loyalty.

• Attended and represented Audi AG on a group-wide level in workshops for AI strategy for customer experience.

• Leveraged knowledge of recurrent neural networks and transformer architecture.

• Utilized GPT-3 generative AI frameworks.

• Employed TensorFlow and PyTorch for machine learning.

• Used Tableau from Salesforce for data analysis and visualization.

• Served as solution manager for the Business Architecture team.

• Collaborated with business stakeholders within Audi OEM to gather requirements for CRM strategy including marketing department, CRM heads across countries, VW group brands and CARIAD SE.

• Represented Audi AG in CRM strategy workshops held in different countries.

• Discussed CRM strategy with head of CRM and Data based on workshop outcomes.

• Conducted business analysis on gathered market data to improve customer experience.

• Planned and launched marketing campaigns such as welcome mailing, license renewal reminders, Audi Progress Circle and Black Friday campaigns.

• Managed project budget.

• Acted as solution manager for the ONE.CRM team at CARIAD SE on loan from Audi AG.

• Collaborated with business owners of VW group brands to develop a central solution.

• Represented CARIAD SE in CRM strategy workshops in Spain, France and Italy.

• Discussed CRM strategy with head of CRM at CARIAD SE based on workshop outcomes.

• Conducted business analysis on market and brand data to improve customer experience.

• Planned and delivered campaign capabilities from template to brands such as welcome mailing for Audi AG, SEAT and SKODA.

• Managed project budget together with head of CRM.

• Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
• Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
• Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
• Use of Scrum and Kanban methods.
• Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
• Development of new plugins and add-ons needed on current infrastructure.
• Database support.
• Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
• Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
• Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
• Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
• Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
• Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
• Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
• Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
• Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
• Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
• Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
• Automated system provisioning and deployment using CloudFormation templates.
• Configuration of IAM roles, policies and permissions to ensure secure access control.
• Patch management, backup automation and disaster recovery setup on AWS infrastructure.
• Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
• Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
• Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
• Configuration of AWS CloudWatch to monitor application performance and system events.
• Planning and execution of migration of on-premises applications to AWS cloud platforms.
• Deployment of containerized applications using Docker and Kubernetes in AWS environments.
• Deployment of internal software packages between availability zones using AWS CodeDeploy.
• Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.

• Practice-oriented coaching on core aspects of data science
• Teaching advanced concepts in Python as well as automation (with Make and n8n) and ETL processes with Apache Airflow
• Weekly preparation and delivery of practice-oriented programming courses using real-world examples
• Promoting practical programming skills among participants through interactive exercises and individual support
• Developing didactic materials and adapting content to participants' skill levels
• Close collaboration with the team for continuous improvement of course quality and learning outcomes

• Built Power BI dashboards and enabled data-driven strategies across digital platforms

• Created a complete entity-relationship model (ERM) for the future operational database
• Implemented the model using an RDBMS
• Designed and implemented a star schema for inventory management

• Freelance development engineer for image processing systems
• Development of custom image processing algorithms
• Creation of industrial image processing applications
• Training and mentoring