PLC/SPS Programmer and Automation Engineer in Germany, building a practical IT/OT transition portfolio based on industrial automation experience.

I am developing portfolio projects that connect my PLC and automation background with IT/OT topics such as industrial network architecture, OPC UA, machine connectivity, production data flow, SCADA/MES interfaces, and database-oriented production data modeling.

My target direction is:

Junior IT/OT Engineer with strong PLC and automation background

I am not junior in automation. My transition focus is IT/OT, machine data, and production connectivity.

• Siemens PLC programming
• TIA Portal and STEP 7
• WinCC and WinCC Unified
• HMI/SCADA systems
• Commissioning and troubleshooting
• Industrial networks
• Drives and robot interfaces
• PLC-to-HMI and PLC-to-SCADA communication
• Production automation documentation

Conceptual industrial IT/OT network architecture covering zone segmentation, VLAN/IP planning, firewall rule logic, Industrial DMZ, secure remote access, and communication matrix documentation.

Repository:

https://github.com/AliSavarnejad/industrial-it-ot-network-architecture

Conceptual OPC UA documentation project showing machine data flow from PLC systems to SCADA, historians, MES, dashboards, and IT/OT systems using server/client roles, address-space modeling, communication matrices, and secure access control.

Repository:

https://github.com/AliSavarnejad/opc-ua-machine-data-flow

Industrial AI project focused on predicting steel industry energy consumption using machine learning models.

Repository:

https://github.com/AliSavarnejad/steel-energy-consumption-prediction

Production Data Model and MES/Database Data Flow

Planned focus:

• OPC UA tag to database column mapping
• SQL schema design
• Production orders
• Machine events
• Alarm logs
• Cycle data
• Energy readings
• Data contract documentation
• Event-driven vs time-series data flow

The portfolio follows a practical sequence:

Network → Protocol → Data → Industrial AI

This means:

• Project 1 explains where industrial data moves in an IT/OT network.
• Project 2 explains how selected machine data can be exposed through OPC UA.
• The next database/MES project will explain how production data can be stored, structured, and prepared for MES/database use.
• The machine learning project shows the later direction toward industrial data and AI.

My goal is to move toward IT/OT and industrial data roles while using my PLC and automation experience as a strong technical foundation.