01.05.2026 aktualisiert

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AI & Cloud Product Owner | Solution Architect | DevOps Expert

Forchheim, Deutschland
Weltweit
PhD, Applied Mathematics
Forchheim, Deutschland
Weltweit
PhD, Applied Mathematics

Über mich

LinkedIn: https://www.linkedin.com/in/matthias-herz/ GitHub: https://github.com/orgs/Herz-Cloud-AI-GmbH/repositories

Skills

Künstliche IntelligenzAlgorithmus-EntwurfAmazon Web ServicesAtlassian ConfluenceAtlassian JiraCloud ComputingKonzeptualisierungContinuous IntegrationDevOpsGitHubPythonMachine LearningNatural Language ProcessingOctopus DeployProduktlinienentwicklung (Software)Predictive AnalyticsProdukt ManagementScrumCloud-ServicesSemantikGoogle FirebaseGitLabFastAPIKubernetesDatenanalytikTeam ManagementDatenmanagementMachine Learning OperationsTerraformDockerDatabricks
Key Areas
1) Could & AI solutions on AWS or GCP or Databricks
2) Databricks for Data & AI products
3) ML Ops with Langfuse, Databricks, VertexAI, AWS Bedrock
4) DevOps with Terraform, Kubernetes, CI/CD, ArgoCD
5) GenAI Knowledge Agents


List of Skills
  1. Algorithm Development
  2. AI Services
  3. AI Agents
  4. AI Platforms
  5. Agentic Engineering
  6. ArgoCD
  7. CI/CD
  8. Confluence
  9. Claude Code
  10. Data Analytics Services
  11. Data Platforms
  12. Databricks
  13. Data Products
  14. DevOps
  15. Docker
  16. FastAPI
  17. Firebase
  18. GCP
  19. GitLab
  20. GitHub
  21. GitHub Copilot
  22. JIRA
  23. Knowledge Graph
  24. Knowledge Agents
  25. Kubernetes
  26. Machine Learning (ML)
  27. Natural Language Processing (NLP)
  28. Ontology
  29. OpenClaw
  30. Product Management
  31. Product Owner (PSPO I Certified)
  32. Predictive Analytics
  33. Python
  34. SCRUM
  35. Semantic Embeddings
  36. Team Leadership
  37. Terraform

Sprachen

DeutschMutterspracheEnglischverhandlungssicher

Projekthistorie

Technical Product Owner & Tech Lead | AI & Data Platform on AWS

Vorwerk

Konsumgüter und Handel

>10.000 Mitarbeiter

Description
  1. AI & Data platform based on Databricks, AWS, GCP, Langfuse, and Kubernetes, AI Coding Agents.
  2. Platform Engineering, DevOps, and Operation are done with Terraform, Python, Docker, Kubernetes, GitLab CICD pipelines, and Agentic Engineering
  3. ML Ops for frontier and fine-tuned LLMs
  4. Technical consulting and solution architecture for AI & Data use cases which are implemented on the provided Data & AI platform.

Skills: Kanban, SCRUM, Team Leadership, Operation Management, Stakeholder Management, AWS, Azure Entra ID, GCP, Databricks, Agentic Engineering, AI, AI Agents, ML Ops, LLM, Claude Code, ArgoCD, Terraform, Kubernetes, DevOps, CI/CD, GitLab CICD, JIRA, Confluence

Product Owner | DevOps & Infrastructure-as-Code on AWS and Azure

Allianz Technology

Versicherungen

>10.000 Mitarbeiter

Description
  • Corporate cloud landing zone in Hub-Spoke architecture for all Allianz business units to move their business safely and scalable to the cloud.
  • The Hubs form a global mesh for private communication in AWS / Azure including on-premise connections, proxies, and private DNS.
  • The Spokes are the accounts, VPCs / VNETs, subnets, IAM / RBAC setup, and the integration layer for other corporate services on Azure and AWS.
  • Automation is achieved with Terraform, Crossplane, GitHub Actions, and native Azure / AWS services realizing a novel Infrastructure-as-Code (IaC) approach.

Skills: Team LeadershipçTerraform · Collaborative Leadership · Agile Leadership · Infrastructure as code (IaC) · Stakeholder Management · SAFE · DevOps · CI/CD · Amazon Web Services (AWS) · Microsoft Azure · Operations Management · Customer Engineering · Leadership · Scrum · SCRUM Product Owner · Networking Infrastructure · Virtual Private Cloud (VPC) · Crossplane  · ArgoCD · Kubernetes · Operations · Customer Engineering  · JIRA  · Confluence

Product Owner & Solution Architect | AI & Data Platform as Knowledge Graph on GCP

RTL DATA

Medien und Verlage

>10.000 Mitarbeiter

Description:
  1. The product was a semantic metadata platform as enterprise knowledge graph to be used for semantic recommenders and semantic smart search algorithms.
  2. The core was to create this Knowledge Graph with AI, ML, Natural Language Processing (NLP), semantic embeddings, and Ontologies.
  3. The multi-cloud solution consisted of numerous machine learning microservices, ETL pipelines on GCP, BigQuery as DWH, AWS Neptune as Knowledge Graph, and Azure OpenAI Services.
  4. For the ease of usage, a content exploration app was developed with Angular and FastAPI to retrieve information from the knowledge graph through a web app.

Skills: SCRUM, Data Science, AI, ML, Data Engineering, Machine Learning, Knowledge Graph, Graph Embeddings, Natural Language Processing, GPT-3, Azure Open AI, Ontology, Google Cloud, Kubernetes, Streaming, DevOps, Argo CD, GitLab CI/CD, Solution Architecture, ETL Architecture, Terraform, Infrastructure-as-Code, Firebase Authentication, AWS Neptune, AWS IAM, AWS STS, Python, Jupyter, Team Leadership, Partner Management

Product Owner & Solution Architect - Predictive Maintenance

Siemens

Industrie und Maschinenbau

>10.000 Mitarbeiter

Description:
  • Service to detect and predict machine failures and required maintenance for stagger cranes in logistic centers
  • Technically the solution was based on anomaly detection algorithms.
  • The software architecture was a hybrid cloud- and edge computing solution base on Docker, Kubernetes, and mircro-services.

 Key Words: SCRUM, Jira, Confluence, Machine Learning, Anomaly Detection, AI, Encoder-Decoder, GAN, Edge Computing, Cloud Computing, IIoT, Kubernetes, Docker, Grafana, NATS, DevOps, StartUp, Python, C++, Jupyter, GitLab

Product Owner - Analytics & Prediction Tool

Siemens

Industrie und Maschinenbau

>10.000 Mitarbeiter

Description:
  • Internal tool for forecasting product demands over the next five years at the end of the product lifecycle (Phase-Out-Planning).
  • Target users are the responsible spare part managers.
  • The solution was based on SAP HANA and Tableau
  Key Words: SCRUM, JIRA, Confluence, Data Analytics, Machine Learning, SAP HANA, Tableau, AWS, Python, Jupyter, GitLab, Team Leadership, Partner Management

Innovation Manager

Siemens

Industrie und Maschinenbau

>10.000 Mitarbeiter

Description
  • Built an end-to-end innovation process for a fast evaluation of innovation ideas.
  • Developed a validated innovation project portfolio which systematically covered horizon 2. 
  • Digital strategy development
Key Words: Design Thinking, Innovation Horizons, Innovation Funnel, Stage-Gate Process, Business Model Navigator & Canvas, 4P, JTBD, McKinsey Matrix, Ideation Workshops

Project Lead & Developer - Digital Twin Plug-In

Siemens

Industrie und Maschinenbau

>10.000 Mitarbeiter

Description:
  • Plugin in SimCenter for reducing the size of large FEM models.
  • The goal was to enable real-time computations for physics-based Digital Twins, which run in parallel to operations of electric motors.
  • Based on these Digital Twins live-monitoring and predictive maintenance solutions were built.
  • Algorithms were developed in C++ and Python
  • Algorithms were based on Krylov-based model order reduction, Proper-orthogonal decomposition (POD), and Auto-Encoders
Key Words: SCRUM, JIRA, Confluence, Simcenter, Plugin, Model Order Reduction, POD, Auto-Encoders, Machine Learning, Python, Jupyter, C++, GitLab, Finite Element Method

Software & Algorithm Developer

Siemens AG

Industrie und Maschinenbau

>10.000 Mitarbeiter

Description:
  • Various projects for Digital Twins, Simulation Tools, Algorithms, Finite-Element Methods, and Web Apps
  • Used programming languages were C/C++, Python, Java, JavaScript, Bash.
Key Words: SCRUM, Digital Twins, Simulation Tools, Algorithms, Finite-Element Methods, and Web Apps, C/C++, Python, Java, JavaScript, Bash, SimCenter

Project Lead & Developer - Topology Optimization

Siemens

Internet und Informationstechnologie

>10.000 Mitarbeiter

Description:
  • New Filters and Algorithms for Topology Optimization
  • The goal was to add new features to the SimCenter Topology Optimizer.
  • Algorithms developed in C++ and Fortran
 Key Words: SCRUM, Jira, Confluence, Topology Optimization, SimCenter, C++, Fortran, Finite Element Method, Algorithms, GitLab, Voxelizer, Non-linear optimization

Research Associate Numerical Simulations

University Erlangen

Öffentlicher Dienst

>10.000 Mitarbeiter

Description:
  • Development of non-linear thermodynamical mathematical model
  • Development of algorithms for ionic fluids

Key Words: Software Development, Algorithms, Data Science, Agile Methoden, Mathematical Modeling, Research and Development (R&D), Mentoring, Teaching, Ionic fluids, Nonlinear Thermodynamics

Zertifikate

AWS Databricks Platform Architect

Databricks

2025

Professional SCRUM Product Owner I

Scrum.org

2021

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