Engineering Work

Selected engineering work across complex automation, high-speed machinery, industrial data and industrial AI — focused on real manufacturing problems, system integration and measurable improvement.

Featured Engineering Work

Complex Automation & High-Speed Machinery

Engineering multi-machine production systems in which independent machines, synchronized motion, robotics and control software must operate as one coordinated production line.

The work focuses on stable product flow, machine-to-machine coordination, synchronized mechanisms, robotic processing and handling, and line-level commissioning under real production conditions.

Highlights

Multi-machine automation architecture
PLC/PAC control software
Synchronized motion and conveyors
Robotics and kinematics
Machine-to-machine coordination
Production-line commissioning

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Industrial Data & Production Analytics

Building a complete data path from PLC-level production information to operator visibility, production analytics and engineering action.

Machine states, process variables, stoppages and weighing data were brought into a common architecture and used to identify production losses, investigate root causes and guide practical improvements.

Highlights

PLC-side production-data generation
OPC DA / OPC UA integration
SQL-based production-data storage
Python dashboards and data applications
Jupyter-based production analysis
Approximately 70% reduction in excess product giveaway above nominal

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AI-Assisted Quality Inspection

Combining thermal imaging, deep-learning-based vision and machine-control integration to detect a difficult packaging-quality defect under high-speed production conditions.

The project progressed from imaging-method selection and defect classification to large-scale dataset creation, inline inference, PLC integration and real-production validation.

Highlights

Thermal imaging
Defect classification
Large real-production dataset
Deep-learning-based inspection
Inline inference
PLC / machine-control integration
Customer complaints related to the targeted defect reduced to zero during validation

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Additional Engineering Work

Industrial IoT & Machine Data Infrastructure

Development of industrial network and machine-data infrastructure connecting production equipment to higher-level monitoring, diagnostics and data applications.

The work included dedicated industrial Ethernet networks, standardized machine-data structures, OPC connectivity, remote diagnostics and scalable machine-data publication.

NIR Moisture Monitoring & Process Quality

Integration of inline NIR moisture measurement into the production process to provide continuous visibility of product moisture and support process-quality decisions.

The solution enabled operators to monitor moisture behavior during production and react when predefined quality limits were exceeded.

Automation Lifecycle & Version Management

Implementation of centralized automation-software version and backup management to improve traceability, reduce version-related risks and support long-term machine lifecycle management.

The approach created a structured repository for control-system software and reduced the risk of working with incorrect or outdated machine versions.

See How the Engineering Connects

These projects represent different parts of the same engineering approach: understanding the production problem, selecting the right technologies, integrating them into the machine or production system, and validating the result under real operating conditions.

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