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Markus WirthMW

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Freelancer profile translated to English.
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About Markus

As a Senior AI Solution Architect & Data Engineer, I support companies in building modern, scalable, and secure AI and data solutions – from technical architecture to productive implementation. With my many years of experience in AI, Cloud, Data Engineering, Web3, and Enterprise Application Development, I combine deep technical expertise with strategic understanding and clear delivery strength.

My focus is on:
  • AI Solution Architecture: Building end-to-end architectures, LLM integrations, RAG systems, automations, and AI-powered platforms.
  • Data Engineering & Cloud: Architecture & development of data platforms (PostgreSQL, Azure/AWS), pipelines, microservices, secure APIs, and scalable backend systems.
  • Web3 & Digital Innovation: Tokenization, wallet technologies, blockchain-based applications, and secure smart contract integrations.
  • Enterprise Consulting: Structured project approach, stakeholder management, roadmaps, governance, compliance-oriented implementation.
What sets me apart:
  • Combination of deep technical skill, strategic thinking, and clear communication.
  • Over 10 years of experience in software development, data architectures, and AI-driven digital products.
  • Lecturer & Trainer in Artificial Intelligence, Data Analysis, and Modern Software Development – thus excellent ability to convey complex topics clearly and understandably.
  • High implementation speed, structured working method, modern standards (DevOps, Docker, CI/CD, Clean Architecture).
I support start-ups and SMEs with:
  • Building and modernizing data-driven platforms
  • Developing productive AI solutions
  • Architecture and infrastructure consulting
  • Implementation of complete digital products from concept to go-live
If you are looking for someone who combines technical excellence with business understanding and builds solutions that truly work – let's talk.
  • German

    Native or bilingual

  • English

    Fluent

  • French

    Basic

Can work on-site
Nürnberg (up to 50km)

Experience

  • DigiOnko
    Solution Architect & Project Management
    HEALTH AND WELLNESS
    March 2021 - March 2022 (1 year)
    Erlangen, Germany
    • Design and build a scalable data platform for multimodal medical sensor data (imaging, wearables, findings).
    • Architectural design for distributed, sensitivity-critical AI models (ML pipelines, monitoring, data validation).
    • Implementation of a containerized infrastructure (Docker/Kubernetes) for secure deployment of analysis models near clinics.
    • Stakeholder workshops with doctors, researchers, and ministries to derive functional requirements and system architecture.
    • Leadership of an interdisciplinary team including doctoral candidates, data scientists, and developers.
    IT Architecture AI Solution Architecture IT Strategy Data Analysis Data Science
  • Digital Twin
    Lead Architect & Project Manager
    SPORTS
    January 2021 - January 2023 (2 years)
    Erlangen, Germany
    Conception of a backend-centric platform for fusing IMU sensor data, computer vision, and biometric streams.
    Development of the architecture for high-frequency data pipelines (>1 million events/h) and creation of microservices in Python/Node.js.
    Setup of a container infrastructure including automated deployment and monitoring.
    Design of APIs & sync mechanisms between mobile and stationary systems (edge/cloud interoperability).
    Product evaluation of XR components (Unity, VR interfaces) for interactive analysis in training and lab scenarios.
    IT Architecture IT Strategy AI Solution Architecture Virtual Reality Data Analysis
  • BISS – Bindungsadaptive KI-Systeme im Sport
    Solution Architect & Scientific Lead
    SPORTS
    January 2020 - January 2022 (2 years)
    Erlangen, Germany
    • Architecture of an AI system for adaptive evaluation of movement quality in professional and amateur sports.
    • Modeling of data and integration architecture for wearable sensors, edge devices, and cloud backends.
    • Development of machine learning models (PyTorch, scikit-learn) including feature pipelines and validation.
    • Conception of APIs for further processing in coaching tools and training apps.
    • Leadership of a team of ML researchers, developers, and sports scientists.
    AI Solution Architecture IT Architecture Data Engineering & Cloud Architecture Data Science Data Visualisation

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Education

  • Certification
    Zertifizierung
  • Scientific Work
    Campus M University
    2025
    Wissenschaftliches Arbeiten

Skill set

Categories