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Digital Twins Architect

$25/hr Starting at $50

I’m a Digital Twins Architect with 18 years of experience, including 12 years building Digital Twin solutions for manufacturing, utilities, and asset-intensive industries. I deliver end-to-end projects: sensor and edge integration, secure data pipelines, twin modeling (semantic & lifecycle), predictive analytics, and interactive visualizations. My approach emphasizes measurable business outcomes — reduced downtime, optimized maintenance spend, and improved operational efficiency. I’m available for strategy, PoCs, full deployments, and long-term support. Let’s discuss your assets and KPIs and create a roadmap to unlock the value of Digital Twins.

Top Skills

  1. Digital Twin design & implementation
    • Asset modelling, semantics (BOM, ontology), lifecycle twin strategies
  2. IoT systems & connectivity
    • Sensor integration, MQTT, OPC UA, edge data acquisition
  3. Cloud & platform integration
    • Azure Digital Twins, AWS IoT TwinMaker, Google Cloud IoT, custom platforms
  4. Data engineering & analytics
    • Time-series storage, streaming (Kafka), ETL, feature engineering
  5. Predictive maintenance & ML
    • Anomaly detection, remaining useful life (RUL) models, supervised/unsupervised models
  6. Software development & architecture
    • Microservices, REST/gRPC APIs, CI/CD, containerization (Docker, Kubernetes)
  7. Visualization & dashboards
    • Real-time dashboards, 3D visualization, AR/VR integration (Unity/Three.js)
  8. Security, governance & compliance
    • Data security, access control, digital twin versioning, audit trails
  9. Project leadership
    • Agile delivery, stakeholder workshops, requirement-to-deployment roadmaps

Services Offered 

  1. Strategy & Assessment
    • Digital Twin feasibility, ROI analysis, maturity assessment, roadmap creation
  2. End-to-end Implementation
    • Sensor/edge integration, data ingestion pipelines, twin model creation, cloud deployment
  3. Platform Migration & Integration
    • Azure Digital Twins / AWS TwinMaker setup, integration with ERP/PLM/SCADA
  4. Analytics & Machine Learning
    • Predictive maintenance, condition monitoring, anomaly detection pipelines
  5. Visualization & UI/UX
    • 2D/3D dashboards, interactive twin interfaces, AR proofs-of-concept
  6. Proof of Concept (PoC) & Pilot Projects
    • Rapid PoC to validate KPIs and collect data for production rollout
  7. Support & Managed Services
    • Monitoring, optimization, versioning, and incremental enhancements


Why Hire Me

  1. Deep domain expertise: 12 years focused on digital twins across manufacturing, utilities, and asset-heavy industries.
  2. Full-stack delivery: From sensors and edge to cloud, analytics, and visualization — one provider for the whole pipeline.
  3. Business-first approach: I prioritize measurable KPIs (downtime, OEE, maintenance costs) and ROI justification.
  4. Clear communication & agile execution: Regular demos, stakeholder alignment, and iterative delivery.
  5. Security-conscious: Design and implement secure data flows and governance for sensitive operational data.


About

$25/hr Ongoing

Download Resume

I’m a Digital Twins Architect with 18 years of experience, including 12 years building Digital Twin solutions for manufacturing, utilities, and asset-intensive industries. I deliver end-to-end projects: sensor and edge integration, secure data pipelines, twin modeling (semantic & lifecycle), predictive analytics, and interactive visualizations. My approach emphasizes measurable business outcomes — reduced downtime, optimized maintenance spend, and improved operational efficiency. I’m available for strategy, PoCs, full deployments, and long-term support. Let’s discuss your assets and KPIs and create a roadmap to unlock the value of Digital Twins.

Top Skills

  1. Digital Twin design & implementation
    • Asset modelling, semantics (BOM, ontology), lifecycle twin strategies
  2. IoT systems & connectivity
    • Sensor integration, MQTT, OPC UA, edge data acquisition
  3. Cloud & platform integration
    • Azure Digital Twins, AWS IoT TwinMaker, Google Cloud IoT, custom platforms
  4. Data engineering & analytics
    • Time-series storage, streaming (Kafka), ETL, feature engineering
  5. Predictive maintenance & ML
    • Anomaly detection, remaining useful life (RUL) models, supervised/unsupervised models
  6. Software development & architecture
    • Microservices, REST/gRPC APIs, CI/CD, containerization (Docker, Kubernetes)
  7. Visualization & dashboards
    • Real-time dashboards, 3D visualization, AR/VR integration (Unity/Three.js)
  8. Security, governance & compliance
    • Data security, access control, digital twin versioning, audit trails
  9. Project leadership
    • Agile delivery, stakeholder workshops, requirement-to-deployment roadmaps

Services Offered 

  1. Strategy & Assessment
    • Digital Twin feasibility, ROI analysis, maturity assessment, roadmap creation
  2. End-to-end Implementation
    • Sensor/edge integration, data ingestion pipelines, twin model creation, cloud deployment
  3. Platform Migration & Integration
    • Azure Digital Twins / AWS TwinMaker setup, integration with ERP/PLM/SCADA
  4. Analytics & Machine Learning
    • Predictive maintenance, condition monitoring, anomaly detection pipelines
  5. Visualization & UI/UX
    • 2D/3D dashboards, interactive twin interfaces, AR proofs-of-concept
  6. Proof of Concept (PoC) & Pilot Projects
    • Rapid PoC to validate KPIs and collect data for production rollout
  7. Support & Managed Services
    • Monitoring, optimization, versioning, and incremental enhancements


Why Hire Me

  1. Deep domain expertise: 12 years focused on digital twins across manufacturing, utilities, and asset-heavy industries.
  2. Full-stack delivery: From sensors and edge to cloud, analytics, and visualization — one provider for the whole pipeline.
  3. Business-first approach: I prioritize measurable KPIs (downtime, OEE, maintenance costs) and ROI justification.
  4. Clear communication & agile execution: Regular demos, stakeholder alignment, and iterative delivery.
  5. Security-conscious: Design and implement secure data flows and governance for sensitive operational data.


Skills & Expertise

Operating SystemsPredictive ModelingPythonStrategy DevelopmentVirtual Reality (VR)

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