Alexander Kalis
Industrial Engineer & Robotics Software Specialist
Industrial Engineer specializing in industrial robotics, control systems, and software development. I work with ROS2 and industrial platforms like KUKA, FANUC, and ABB to build practical robotic solutions.
I focus on solving complex problems and optimizing autonomous systems for industrial applications.
Core Expertise & Technology Stack
Automation & Industrial Control
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Robot Programming:
KUKA, FANUC, ABB (Integration & Safety) -
PLC / HMI:
Siemens, Beckhoff, Omron (Control Logic) -
Vision Systems:
2D/3D Machine Vision, LiDAR, Sensor Fusion -
Motion Control:
Advanced Kinematics, Control, & Motion Planning
Robotics Software & Middleware
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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
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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
GitHub Repository
Aleynikovich/iiwaTOFASZINKERREKA: 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 increasing throughput by 40%.
Key Technologies
GitHub Repository
Aleynikovich/ZinkerrekaSmart 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, reducing setup time by 60% and increasing operational flexibility while maintaining production quality.
Key Technologies
GitHub Repository
Aleynikovich/errekaSmartPalSYSIQ: System Integration & Quality Library
Comprehensive software library for industrial system integration and quality assurance. Provides reusable components, utilities, and frameworks for streamlined development of robust automation solutions across multiple robotics platforms.
- 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 by 50% through proven patterns, comprehensive documentation, and modular architecture supporting rapid prototyping and deployment.
Key Technologies
GitHub Repository
Aleynikovich/sysiqUdima 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
GitHub Repository
Aleynikovich/Udima-TFGLet's Connect
I'm open to discussing engineering challenges, industrial automation opportunities, or research collaboration.
© Alexander Kalis.