Industrial Automation · Real-Time Intelligence · Industrial Data Platforms · IIoT · Digital Twins · GenAI · IT/OT Cybersecurity
I am an enthusiastic, curious, and innovation-driven engineer passionate about making technology purposeful, scalable, secure, and commercially valuable.
With 15+ years of practical engineering and technical leadership experience, I design and deliver mission-critical industrial systems—from architecture and implementation to verification, deployment, and operational improvement.
My work bridges:
Industrial operations + automation + data engineering + artificial intelligence + cloud-native software
I focus on transforming real-time industrial data into reliable insights, predictive intelligence, and measurable business value.
- Architect Industrial AI and smart-manufacturing solutions
- Build real-time industrial data and performance platforms
- Connect OT systems with enterprise IT, cloud, and analytics platforms
- Develop IIoT, edge-computing, and digital-twin solutions
- Apply machine learning to predictive maintenance and process optimization
- Design scalable APIs, microservices, SaaS platforms, and data services
- Implement secure-by-design engineering and DevSecOps practices
- Establish automated quality engineering and continuous verification
- Lead Agile engineering teams and cross-functional technology programs
- Convert complex engineering ideas into deployable and sellable products
My industrial background covers large-scale, real-time, and mission-critical environments involving:
- Industrial control and automation systems
- SCADA, HMI, PLC, DCS, and industrial historians
- OPC UA, OPC DA, OPC A&E, MQTT, and industrial connectivity
- Plant asset models and ISA-95-aligned information structures
- Alarm, event, historian, VTQ, and time-series data
- Equipment monitoring and asset-performance management
- Overall Equipment Effectiveness — OEE
- Predictive maintenance and condition monitoring
- IT/OT integration and industrial interoperability
- Edge intelligence and distributed industrial architectures
- Simulation environments and digital twins
- Factory of the Future and Industry 4.0 initiatives
I develop Industrial AI solutions that turn operational data into actionable intelligence.
- Predictive maintenance
- Equipment failure prediction
- Anomaly and drift detection
- Process optimization
- Production forecasting
- Root-cause analysis
- Energy and resource optimization
- Machine-vision quality inspection
- Acoustic and sensor-based monitoring
- Recommendation and decision-support systems
- Autonomous and semi-autonomous industrial workflows
- Machine-learning pipelines
- Feature engineering for time-series data
- Model training, validation, and deployment
- Edge and cloud inference
- MLOps and model observability
- Retrieval-Augmented Generation — RAG
- Embeddings and vector search
- Industrial copilots
- Agentic AI workflows
- LLM evaluation and guardrails
- Responsible AI and human-in-the-loop systems
I architect hybrid industrial data platforms connecting plant-floor systems with enterprise analytics and AI services.
- Real-time and event-driven architectures
- Streaming and batch ingestion
- Lambda and lakehouse-oriented patterns
- Industrial time-series processing
- Unified industrial namespaces
- Semantic asset modeling
- Data contracts and governance
- High-availability and zero-data-loss architectures
- Microsoft Fabric
- Fabric Real-Time Intelligence
- OneLake and Lakehouse
- Apache Spark
- Kafka and event streaming
- Power BI
- Grafana
- Industrial historians
- SQL and NoSQL databases
- Python data pipelines
- REST and event-driven APIs
I design industrial systems that operate across the plant floor, edge, private cloud, and public cloud.
- Microsoft Azure
- Azure IoT and edge patterns
- Amazon Web Services
- Docker and containerized services
- Kubernetes
- Linux and industrial IPCs
- Infrastructure as Code
- CI/CD and GitOps
- API gateways and service integration
- Microservices and distributed systems
- Observability, logging, metrics, and tracing
- High availability, resilience, and disaster recovery
I apply security throughout the complete engineering lifecycle—from architecture and risk assessment to automated compliance and operational monitoring.
- IT/OT security architecture
- Security-by-design and threat modeling
- Zero Trust architecture
- Identity and access management
- TLS, certificates, and secure communication
- Network segmentation and defense in depth
- Product security assessments
- Technical risk assessments
- Vulnerability and patch management
- Penetration-testing coordination
- Software supply-chain assurance
- SBOM and open-source clearance
- Secrets and configuration management
- Data privacy and confidentiality
- Continuous security verification
- IEC 62443
- NIST Cybersecurity Framework
- NIST secure-engineering guidance
- OWASP
- GDPR
- Purdue Enterprise Reference Architecture
- DevSecOps practices
Quality engineering has been a core part of my architecture and product-delivery experience.
I build automated verification ecosystems for:
- Industrial applications
- Web and desktop systems
- APIs and microservices
- Mobile applications
- Embedded and edge devices
- Distributed platforms
- Data pipelines
- AI and machine-learning models
- Generative AI and RAG solutions
- Playwright
- Selenium
- Cypress
- Appium
- Robot Framework
- Cucumber
- Postman and Newman
- SoapUI and ReadyAPI
- JMeter
- TestComplete
- Ranorex
- Katalon Studio
- Continuous testing
- API and contract testing
- Data-quality validation
- Performance and load testing
- Reliability and failover testing
- Security testing
- AI model and LLM evaluation
- Requirement traceability
- Risk-based testing
- Automated environment provisioning
- Quality gates in CI/CD pipelines
Python · C# · .NET · Java · JavaScript · TypeScript · SQL · Bash · Go
OPC UA · OPC DA · MQTT · SCADA · HMI · PLC · Industrial Historians · ISA-95 · Edge Computing
Microsoft Fabric · Apache Spark · Kafka · Power BI · Grafana · Pandas · scikit-learn · PyTorch · MLflow
RAG · Embeddings · Vector Search · Prompt Engineering · AI Agents · LLM Evaluation · Responsible AI
Azure · AWS · Docker · Kubernetes · Linux · GitHub Actions · Azure DevOps · Jenkins
REST APIs · Microservices · Event-Driven Architecture · Node.js · .NET · FastAPI · WebSockets
SQL Server · PostgreSQL · MySQL · MongoDB · SQLite · Time-Series Databases
Industrial Assets
│
▼
PLC / DCS / SCADA / Sensors
│
▼
OPC UA / MQTT / Industrial Gateways
│
▼
Edge Computing & Local Intelligence
│
▼
Streaming / Historian / Event Platform
│
▼
Microsoft Fabric / Lakehouse / Real-Time Intelligence
│
▼
Analytics / Machine Learning / Digital Twins
│
▼
Industrial Copilots / Decision Support / Autonomous Workflows