FIELD NODE / GERMANY Explore the LKNZMZD system ↗
STATUS / ACTIVEWAREHOUSE AUTOMATIONEU FIELD OPS

Automation • Operations • Internal Tools

I build, support and improve real automation systems.

Germany-based automation systems specialist working across live warehouse environments. I connect operations, technical support, incident diagnostics and practical software tools.

3+robotics platforms
24/7operations mindset
EUfield deployment scope
HW+SWcross-layer problem solving
01 / About

Not a generic developer. A field-tested system builder.

I work where software meets physical operations: automation systems, warehouses, logs, failures, dashboards, operators and time pressure. My value is not a long tool list. It is the ability to turn noisy operational signals into a clear technical response.

CORE / 01

Warehouse automation

AMR monitoring, incident response, deployment support and production-system awareness.

CORE / 02

Diagnostics & internal tooling

Log parsing, structured reports, repeatable triage flows and operational visibility.

CORE / 03

Software systems

JavaScript, Python, APIs, dashboards, data workflows and pragmatic deployment.

CORE / 04

Hardware prototyping

Servo systems, 3D-printed parts, sensors and compact robotics experiments.

02 / System architecture

What I bring to a technical team

INPUT

Operational signals

Robot errors, logs, operator feedback, bottlenecks and field constraints.

PROCESS

Diagnostics + tooling

Pattern recognition, root-cause thinking, structured reporting and automation logic.

OUTPUT

Reliable execution

Faster troubleshooting, cleaner handovers and stronger system visibility.

03 / Project layer

Proof modules, not decorative cards

Each module addresses a concrete operational or engineering problem.

PL-01ACTIVE

Robot Log Parser / TK Service Tool

Converts messy robot incident inputs into structured records for reporting, validation and warehouse-team visibility.

  • Input → parser → validation → export
  • Daily reporting workflow
  • Built for real operational pressure
Open system ↗
PL-02FEATURED

Robotics Vision / LKNZMZD

A personal page about why I build in robotics, the systems I explore and the long-term direction of the LKNZMZD brand.

  • Personal robotics vision
  • System-builder mindset
  • Gateway to the main LKNZMZD page
Visit lknzmzd.com ↗
PL-03PROTOTYPE

Observer Robot

Expressive servo-based robot focused on coordinated motion, state feedback and physical interaction.

  • 30-servo eye system
  • Motion calibration and coordination
  • Foundation for room-assistant systems
PL-04BUILD

LKNZMZD Automation Stack

Small systems for incident analysis, workflow control, memory capture, dashboards and applied AI automation.

  • Incident-analysis tooling
  • Content and memory pipelines
  • Automation-first architecture
View project hub ↗
04 / Capability map

No fake percentage bars

Capabilities are grouped by how they are used, not by invented precision.

OPERATIONAL

Warehouse automation support

AMR monitoring, incident handling, deployment support and documentation.

BUILDING

JavaScript & web tools

Dashboards, workflow UIs, APIs, static sites and deployment debugging.

BUILDING

Python & data workflows

Parsing, automation scripts, processing and analytical workflows.

SPECIALIZED

GIS & remote sensing

QGIS, SNAP, EGMS, InSAR concepts and geospatial analysis.

EXPERIMENTAL

Hardware & 3D printing

Servo systems, compact robots, sensors and functional prototypes.

LEVELING UP

Applied AI systems

Tool-using agents, memory systems and workflow automation.

05 / Experience

Work experience

2026 — PRESENTOberhausen, Germany

JD Logistics / JDL Robotics

Warehouse Automation & Technical Operations Specialist

Supporting live warehouse automation, technical operations, robot monitoring and production reliability in a high-throughput environment.

2025 — 2026European deployments

TK Service

Robotics Technical Support Specialist

Supported AMR fleets, incident diagnostics, operational monitoring and internal reporting tools across warehouse deployments.

2022 — 2025Wrocław, Poland

QSENSE

Technician / Team Lead / Logistics / Quality Control

Maintained technical systems, coordinated daily workflows, handled material flow and supported production-quality standards.

06 / Education

Education

IN PROGRESS

PhD, Management Information Systems

Bahçeşehir Cyprus University

MASTER'S

MSc, Geomatics for Mineral Resource Management

Wrocław University of Science and Technology

Double degree / Erasmus+ programme at TU Bergakademie Freiberg, Germany.
ENGINEERING

BSc, Oil and Gas Equipment Engineering

Azerbaijan State Oil and Industry University

Languages

Azerbaijani · English · Russian · Turkish · German · Polish · Chinese (learning)

07 / Contact

Best fit: warehouse automation, technical operations and practical internal tools.

For technical collaboration, operations-focused roles or project discussions, use email or LinkedIn.