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Alexander Kalis

Industrial Engineer & Industrial Robotics Specialist

Industrial Engineer passionate about bridging the gap between heavy industrial hardware and advanced intelligent software. I specialize in developing robust robotic control systems, leveraging ROS2, C++, and Python to modernize platforms like KUKA, FANUC, and ABB.

My focus lies in solving complex automation challenges—from real-time motion planning to AI-driven vision—optimizing autonomous systems for the next generation of industrial manufacturing.

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Core Expertise & Technology Stack

Automation & Industrial Control

  • Robot Programming:
    KUKA, FANUC, ABB (Integration & Safety)
  • PLC / HMI:
    Siemens, Beckhoff, Omron
  • Vision Systems:
    Keyence, Photoneo, Zivid, Cognex | 2D/3D Machine Vision, LiDAR, Sensor Fusion
  • Motion Control:
    Advanced Kinematics, Control, & Motion Planning

Robotics Software & Middleware

  • Core Languages:
    C++, Python, C, C#, LUA, Java (Embedded, High-Performance, & Scripting)
  • Middleware:
    ROS2, DDS/RTPS Protocols, Real-Time Data, RoboDK API
  • Data Analysis & Computing:
    Machine Learning, Scientific Computing, Data Science

Real-Time Systems & Deployment

  • Deep Linux Systems:
    Arch Linux Enthusiast & AUR Contributor
  • Shell Scripting:
    Bash, Zsh, System Automation
  • Real-Time OS:
    RTOS Implementation and Kernel Tuning
  • DevOps / Version Control:
    Advanced Git, CI/CD Workflows

Featured Projects

HARTU: Intelligent Mobile Manipulation Platform

Advanced robotics platform combining KUKA iiwa with autonomous mobile robotics for flexible manufacturing. Features edge computing with NVIDIA Jetson, AI-powered 3D vision for intelligent grasping, and sophisticated path planning for dynamic environments.

  • Technology Stack: ROS2 (C++ & Python), NVIDIA Jetson Edge Computing, Zivid 3D Camera, Autonomous Mobile Robotics (AMR), TCP/IP Communication.
  • Focus: Real-time high-performance computing on edge devices, AI-driven image processing and grasping point algorithms, autonomous mobile platform path planning, and seamless ROS2 integration with industrial robots.
  • Outcome: Fully integrated mobile manipulation system with intelligent object recognition, adaptive grasping, and autonomous navigation enabling flexible production scenarios.
Key Technologies
KUKA Robot ROS2 Python C++ NVIDIA Jetson Zivid 3D Camera

GitHub Repository

Aleynikovich/iiwaTOFAS

ZINKERREKA: Advanced Industrial Automation System

Comprehensive KUKA robot automation system featuring advanced 3D vision, intelligent bin-picking, and zinc surface treatment for industrial screw manufacturing. Integrates machine vision with custom UI for seamless operation and process control.

  • Technology Stack: KUKA KRC, MVTec HALCON 3D Vision, C# (.NET), XAML UI Framework, PROFINET MS, Industrial Laser Integration.
  • Focus: Custom bin-picking algorithm for intelligent object recognition, zinc coating process automation for screw anticorrosion treatment, and modern UI development for operator control and process monitoring.
  • Outcome: Production-grade automation system with intelligent vision-guided pick-and-place, precision surface treatment, and intuitive operator interface delivering significant throughput improvements.
Key Technologies
h-autoKUKA Robot C#

GitHub Repository

Aleynikovich/Zinkerreka

Smart Pal: AI-Driven Adaptive Palletizing System

Intelligent KUKA robot palletizing system enhanced with machine learning capabilities for dynamic production optimization. Features adaptive recipe generation that learns from production patterns to automatically create and optimize palletizing sequences on the fly.

  • Technology Stack: KUKA KRC (Robot Control Language), Machine Learning Algorithms, Production Data Analytics, Industrial I/O Configuration.
  • Focus: ML-powered production recipe generation adapting to real-time requirements, intelligent palletizing pattern optimization, predictive maintenance, and automated cycle time reduction through data-driven decision making.
  • Outcome: Self-optimizing palletizing system that generates custom recipes automatically, dramatically reducing setup times and increasing operational flexibility while maintaining production quality.
Key Technologies
h-autoKUKA Robot

GitHub Repository

Aleynikovich/errekaSmartPal

SYSIQ: AI terminal integration

Comprehensive software library for dedicated AI guided command line terminal applications in automation workflow. Provides reusable components and tools to streamline development of robust, high-performance terminal-based solutions for system integration, quality assurance, and communication protocols.

  • Technology Stack: C++, Python, Modern Software Architecture, Cross-Platform Compatibility, Modular Design Patterns.
  • Focus: Reusable components for system integration, quality assurance frameworks, standardized communication protocols, and development tools that accelerate industrial automation projects.
  • Outcome: Production-tested library reducing development time through proven patterns, comprehensive documentation, and modular architecture supporting rapid prototyping and deployment.
Key Technologies
C++ Python

GitHub Repository

Aleynikovich/sysiq

Udima TFG: Bachelor's Thesis on Robotics

Final Degree Project (TFG) submitted to Udima university, documenting the research, design, and implementation of an industrial automation solution.

  • Technology Stack: ROS2, C++, Gazebo Simulation, Advanced Kinematics, Control Theory.
  • Focus: Robotic motion planning and control system architecture in a simulated industrial environment.
  • Outcome: Successful defense of the thesis, providing a documented framework for future research and development.
Key Technologies
ROS2 C++

GitHub Repository

Aleynikovich/Udima-TFG
More detailed project information and code samples available upon request.

Let's Connect

I'm open to discussing engineering challenges, industrial automation opportunities, or research collaboration.

Spain (EU)

© Alexander Kalis.

Alexander Sebastian Kalis

Robotics Researcher at Tekniker

Technical Skills & Expertise

Industrial Control Systems

Siemens [TIA Portal, Step7, AWL, Ladder, SCL] | Omron Sysmac | Allen-Bradley | Beckhoff TwinCAT. SCADA, WinCC. Profinet | EtherCAT | OPC UA

Robotics & Automation

KUKA [KRL, RSI, EKI] | FANUC | ABB. ROS/ROS2 (Navigation, MoveIt, Gazebo). Simulation: KUKA Sim, RoboDK

Computer Vision & AI

3D Vision: Zivid, Photoneo. Processing: MVTec HALCON, OpenCV, PCL. AI/ML: TensorFlow, PyTorch, YOLO

Software Development

C++| Python | C | C#/.NET. Scripting: Bash, Lua, SQL. Embedded Systems: RTOS, Real-time Linux

Professional Experience

Robotics Researcher

Tekniker | Eibar, ES

February 2024 - Present
  • Leading the development of high-performance robotic software architectures using ROS2, C++, and Python for complex industrial manipulation tasks.
  • Architecting and implementing AI-driven 3D vision pipelines using Zivid cameras and Point Cloud Library (PCL) for precise object recognition and adaptive grasping in unstructured environments.
  • Driving the complete lifecycle design and integration of advanced autonomous mobile manipulation platforms (AMR + Industrial Arm), solving critical synchronization and path planning challenges.
  • Collaboration on European research projects that advance manufacturing automation.
  • Manage project proposals and perform project manager responsibilities across key research initiatives.

Sales Support Engineer – Technical Support Team

KUKA AG | Vitoria, ES

January 2022 - February 2024
  • Served as the primary technical liaison between the Sales Department and key enterprise customers across the EMEA region, ensuring technical feasibility of proposed automation solutions.
  • Engineered, planned, and standardized complex automated system designs, optimizing layout and cycle times for automotive and general industry clients.
  • Provided high-level consultancy and specialized training to customer technical teams, significantly improving their system integration capabilities and reducing deployment times.

Field Engineer – Customer Service

KUKA AG | Barcelona, ES

July 2017 - January 2022
  • Deployed as a specialized technical expert to resolve critical KUKA software platform issues (System Programming, KRL) and complex hardware malfunctions in high-pressure production environments.
  • Provided frontline diagnostics and repair of robot mechanics, electrical circuits, and electronic components in control cabinets (RDC, KPS), demonstrating strong hands-on problem-solving skills.
  • Demonstrated exceptional problem-solving ownership by driving over 1600 Service Requests to successful resolution, maintaining high customer satisfaction scores.
  • Conducted rigorous laboratory recreation of complex field issues to isolate root causes, documenting and submitting 23 confirmed software defects to R&D for patch development.

Key Projects

HARTU: Intelligent Mobile Manipulation

ROS2, C++, NVIDIA Jetson, Zivid 3D

2024-2026
  • Engineered a real-time edge computing architecture on NVIDIA Jetson to process high-fidelity 3D point clouds for autonomous grasping.
  • Solved complex synchronization challenges between an autonomous mobile base and a KUKA iiwa arm, enabling continuous motion tasks.

ZINKERREKA: Industrial Automation

KUKA KRC, HALCON, C#/.NET

2025
  • Developed a custom bin-picking algorithm using MVTec HALCON, achieving exceptional reliability in chaotic object environments.
  • Designed and implemented a user-friendly C# HMI that streamlined operator workflows, substantially improving system throughput.

Smart Pal: Adaptive Palletizing

KUKA KRC, Machine Learning

2024
  • Created an ML-driven adaptive recipe generator capable of optimizing pallet patterns in real-time based on incoming product dimensions.
  • Dramatically reduced changeover times by eliminating manual reprogramming for new SKU introductions.

Education

Bachelor's Degree in Industrial Engineering

Universidad a Distancia de Madrid (UDIMA) | 2019 - 2025

Associate's Degree in Mechatronics, Robotics and Automation Engineering

Institut Escola del Treball | 2015 - 2017

Vocational Degree in Computer Networks

EDUCEM | 2013 - 2015

Languages

English: Fluent Polish: Native Spanish: Native German: Basic