Google Cloud Platform Experts in Düsseldorf

• Optimizing and accelera­tion of our Gitlab CI pipeline

• Conceptual work for the PoC of the Zero Trust system

• Extension of the policy-engine backend in Go

• Extension of the policy-testing mechanism in Python

• Architectural design of the PEP component of Zero Trust

• Documentation of the product

• Technologies: Zero Trust, Go, Python, Gitlab CI, Docker, JWT, Domain-Driven Design

• Led end-to-end delivery of ML/AI applications for the QuantistryLab simulation platform, from requirements definition and solution design to development, testing, deployment, and production support, coordinating efforts across back-end, DevOps, and ML teams
• Designed and implemented a compound search system with an open-weights LLM, the Pydantic AI agent framework, and the Model Context Protocol (MCP), exposing it through FastAPI endpoints
• Deployed and configured vLLM-based LLM serving on Kubernetes
• Built CI/CD pipelines and Helm charts to automate deployments across staging and production environments
• Instrumented the search system with OpenTelemetry spans and traces, integrating with the Honeycomb observability platform to monitor component-level latency and functional errors
• Developed a custom evaluation dataset and implemented evaluations for retrieval relevance, answer correctness, tool-call accuracy, and end-to-end task success
• Reduced infrared spectrum prediction time by 83% (from 60 to 10 minutes) by replacing a quantum-mechanical model with a pretrained graph neural network; fine-tuned the model using PyTorch, built and containerized the inference pipeline with Docker, and integrated it into the platform
• Implemented an MLflow model registry with MinIO-backed artifact storage
• Advised sales and science teams on ML/AI applications for prospective client projects, providing technical expertise to shape proposed solutions and prototypes

Technologies: AWS, Hetzner, Kubernetes, Helm, Docker, vLLM, Pydantic AI, MCP, Qwen, Llama 3, MLflow, MinIO, GitHub Actions, Python, FastAPI, OpenTelemetry, Honeycomb, PyTorch, Polars, pytest

• Gathered and analyzed requirements in close collaboration with business departments to develop data-driven solutions and scalable PowerBI reporting infrastructures.
• Conducted detailed error analyses and optimized existing semantic and data models to ensure a robust data architecture and high data quality and to improve PowerBI reporting.
• Developed and implemented scalable ETL processes for data preparation and integration.
• Built a wiki for table and view descriptions as well as PowerBI PowerQuery and KPI documentation to ensure a consistent understanding of data structures and key performance indicators.

• Identification of requirements (legal, organizational, and technical)
• Design of solution architectures
• Evaluation of concepts and technologies
• Preparation of decision templates
• Architectural Decision Records (ADR)
• Coordination of implementation
• Review of implementations
• Documentation

• Consulting on CRM processes and features
• AI infusion workshops to introduce AI apps for critical business processes
• Prototyping – vibe coding with Lovable
• Developing several apps for global bid management in a CPQ, Salesforce and SAP 4 Hana environment
• Requirements and process management
• Introducing a new data governance model
• AI infusion – supporting apps and business processes with AI applications
• Portfolio management of AI ideas: identifying and selecting AI projects in bid management
• Prototyping AI projects with Lovable.dev
• Building an AI data foundation in Snowflake
• Blueprint for various business units and global rollout
• An agile prototype-first approach using Design Thinking and vibe coding to prototype all applications
• Presentation at a global conference on the use of AI in business and validating ideas with Design Thinking & vibe coding
• AI infusion workshops at global conferences to prototype ideas with business stakeholders

• Designed and developed the architecture of an enterprise SCM/CI platform for Kubernetes-native delivery and GitOps workflows.
• Implemented infrastructure automation and Vault & IAM integration for secure, compliant pipelines.
• Coordinated cross-functional teams to improve DevOps, security, and architecture in release processes.
• Increased platform adoption and developer experience by automating onboarding and artifact pipelines.

• Founded technology consulting practice delivering business strategy & operations, digital transformation, and enterprise tech & innovation services to telecommunications, cybersecurity, and IT enterprise clients, leveraging 15+ years of Fortune 500 sector expertise
• Developing digital transformation and modernization strategies for legacy system optimization, cloud-native implementations, and operational process enhancement using proven PRINCE2 and agile methodologies
• Building consulting frameworks for project & product management, portfolio governance, and business coaching services while establishing initial client relationships in EMEA markets

• Hybrid/Remote
• Digitalisation introduction and optimisation of software
• Advice on the introduction of AI
• Data & AI strategy
• Interim / tech consultant
• Product, process & management
• Vendor management
• Compliance management platforms (ISO 27001, GDPR, EU AI Act)
• M&A due diligence & analysis

• Carve-out of HR, SuccessFactors, PeopleHub, Concur, RLP and interface systems to an external international service provider

• Creation of business and technical concepts as well as support for enterprise architecture management as part of the migration to the Adesso standard insurance solutions and the renewal of surrounding systems

• Interface definitions

• Business analysis and creation of the business concepts for input management and sales

• Creation of architecture guidelines and processes

• Processing technical and business decisions in the architecture board

• Definition of service processes and system management aspects

• Creation of the technical target operating model

• Creation of an integration architecture for AI/LLMs from the providers Commasoft and Insiders

• CommaSoft (Alan) webpages and web services

• Insiders for Smartfix based on web services

• Creation of a question catalog for a security/regulatory check.

• Analysis of threats using threat modeling / STRIDE incl. creation of a set of measures to secure the systems

System environment: Jira, Confluence, Java, Enterprise Architect, VAIT/DORA, KritisV, GDPR, IT ServiceMgmt, Adesso Ecosphere and Insure Health, DoPIX and successor product, SmartFix, SmartFlow, Zabas, Kolumbus, Clarc archive, BiPRO, AI / LLM, MS Azure, AWS, TOM/FMO

• In this role, I was responsible as Lead Software Engineer for automating various meat production lines.
• My focus was on developing highly available (High Availability) systems using C/C++.
• I also implemented and supported container orchestration with Kubernetes to ensure smooth and scalable production operations.

• Led and supervised the development of publication content within a large neurodegenerative disease, increasing scientific impact and brand visibility.
• Collaborated with an international team and account to ensure the accuracy and effectiveness of medical communications materials.
• Oversaw the strategic planning and execution of key attendance at conferences, resulting in increased engagement with healthcare professionals.
• Contributed to Global Medical Affairs strategies, policies, and programs, and drove implementation in the international region.
• Supported the launch of new and marketed products by generating and disseminating scientific and clinical evidence, both internally and towards key external stakeholders.
• Responsible for Investigators Initiated Studies (IISs) and Non-Interventional Studies (NISs).
• Established and managed relationships with relevant KOLs, influencers, societies, associations, and prescribers, and facilitated appropriate contacts across the region.
• Developed, coordinated, and conducted external education and training for MDs, caregivers and patients, and customer support groups in line with the Medical Affairs plan.
• Provided expertise in the evaluation of complaints and adverse events.
• Worked closely with Public Affairs to align scientific and medical society support for patient advocacy initiatives.
• Educated the internal Shire community through partnering on content development and delivery of medical training, ensuring field teams have the clinical knowledge to effectively support the therapy at a local level.
• Provided medical input to marketing and product launches.
• Worked with International GBU and Therapy Advisory Board to develop the network of local country Shire MDs in the therapeutic area/business, leveraging best practices and expertise across the region, and provided medical input into product launches.
• Provided expertise on neurovascular protocol review to support global studies and programs.
• Developed medical strategies for study protocols and supported medical affairs initiatives.
• Responsible for the promotional and scientific materials review and approval.
• Led CCSM team engagements with clinical sites for therapeutic programs.
• Conducted protocol training for CCSLs in assigned Phase II/III/IV studies.
• Integrated and aligned clinician engagement strategies with therapeutic programs.
• Served as an escalation point for clinical/medical protocol issues.
• Collaborated on a multi-year global medical strategy aligned with product/R&D strategies.
• Managed safety data review, signal detection, and communication across development phases.

• Mobile: Kotlin Multiplatform (KMP), Kotlin, Swift, SwiftUI, Jetpack Compose, Ktor, Room, Koin
• Backend: Spring Boot, GCP Cloud Run, GCP Load Balancer, GCP Eventarc
• Planned and developed a cloud backend architecture with Google Cloud Platform
• Developed a cross-platform architecture with Kotlin Multiplatform (KMP)
• Tech lead for comprehensive large project including webshop, two apps and omnichannel backend

• Built and launched the AI-powered “E-Invoice Corrector,” an intelligent system for validating and correcting invoices, using Python, FastAPI, and machine learning. The system is now live at Fintom8.
• Converted the Corrector into a fully functional API, published with Swagger documentation for easy access and integration by internal and external consumers.
• Designed, experimented with, and optimized advanced LLM prompts and meta-prompting strategies to improve automated reasoning, error correction, and decision-making in agent workflows.
• Wrapped and integrated existing APIs within the Google Agent Development Kit (ADK) framework to enhance automation capabilities and conversational AI workflows.
• Implemented comprehensive unit testing using pytest and unittest, and employed breakpoint debugging (VS Code, pdb) to ensure code reliability, maintainability, and smooth runtime execution.
• Utilized Pydantic and Tabulate for structured data validation, API schema management, and clear tabular data representation in testing and debugging workflows.
• Pursuing the Google Cloud Professional Certificate.