Portfolio

defense

Secure and scalable software solutions for defense-critical systems

A high-performance software solution, developed to extend existing applications and implement new systems from scratch – while strictly adhering to stringent requirements for scalability, efficiency, and security. The solutions were specifically tailored to the needs of a military environment and meet the highest standards in terms of performance, stability, and code quality. The introduction of agile development methods (Scrum) optimized development processes, strengthened interdisciplinary collaboration, and sustainably increased team productivity. This resulted in several robust and secure software solutions that have been explicitly praised by customers and end users for their performance and quality, forming the basis for a successful, long-term partnership.

Construction

Scalable software platform for modern surveying systems

A high-performance software platform designed for the seamless synchronization of measurement and project data between devices, the cloud, and office workstations. The internal SDK for data persistence ensures consistent data flows and stable operations across the entire product range. The plugin-based core framework significantly optimized development processes, reduced costs, and accelerated product launches, enabling efficient and sustainable expansion of the product portfolio. This resulted in a scalable, future-proof software solution that strengthens the company’s innovative capacity and provides professional users worldwide with reliable, precise, and optimally networked surveying systems.

Microscopes / Manufacturing

Defect detection in interferometers through supervised regression-based machine learning

This project focused on developing a machine learning solution for detecting and quantifying defects using specialized microscopic devices. A supervised regression approach was employed, with the training dataset automatically generated by combining ideal images with synthetically added defects. The system reliably identified defective areas and accurately calculated their sizes, with a particular focus on repeatable calculations.

Microscopes / Manufacturing

Visual detection of mechanical assembly errors in optical devices

A computer vision-based system for detecting subtle mechanical assembly errors in interferometers, such as deviations in component angles to, for example, 89.6° instead of 90°. The solution was based on understanding how image data changes depending on different assembly configurations and integrated this correlation into the measurement chain—enabling the system to assess the overall assembly quality.

Robotics / Manufacturing

Vision-based action planning for image-based condition correction

This project focused on developing and simulating a vision-based system for controlling automated actions, with the goal of gradually adapting a visual scene to a desired target state. By analyzing the difference between the current image and the reference image, the system calculated a series of corrective robot actions to minimize visual deviations. The entire solution was developed using a simulation-first approach, enabling independent further development without physical hardware. Image processing served both for error quantification and action planning, thus facilitating rapid development and flexible integration in a hardware-independent environment.

Aviation

Cloud-based training platform for pilot training

A state-of-the-art, cloud-based training platform, developed to support digital pilot training and efficiently manage training content and user information. The solution enables secure progress tracking, reliable authentication, and seamless access to training materials, while meeting the highest standards of security and scalability. By implementing a stable and high-performance server backend architecture, the platform could be flexibly adapted to growing user numbers, and its ongoing operation was sustainably secured. This resulted in a robust and scalable solution that enabled the company to achieve key milestones, successfully present the platform at a trade fair, and acquire new customers.

industrial automation

Cloud-based fleet intelligence system for railway networks

A near real-time cloud solution developed for fleet managers in the rail sector to enable rapid response to malfunctions in the urban rail network. The system continuously collected and analyzed train performance data and generated actionable alerts based on fault indicators. It supported quick, informed decisions regarding route planning and emergency response. The solution was designed to process large volumes of data and provide a clear overview of operational status. In this way, it increased the responsiveness and reliability of daily operations through real-time control of route management and fleet status.

Mechanical Engineering

Cloud-based predictive maintenance and anomaly detection in textile production

A cloud-based predictive maintenance solution for textile manufacturing, designed to reduce downtime and increase operational efficiency. Machine data from the factory was continuously collected in near real-time, enabling the early detection of anomalies in complex mechanical systems. By analyzing deviations in performance, the system was able to quickly and precisely locate emerging defects. The platform also supported the dynamic adaptation of data collection to new shift patterns, thus enabling more accurate financial reporting. Furthermore, it facilitated the quantification of daily yarn production, thereby supporting a production-based pricing model.

Rheinmetall AG, Defense

Secure and scalable software solutions for defense-critical systems

A high-performance software solution, developed to extend existing applications and implement new systems from scratch – while strictly adhering to stringent requirements for scalability, efficiency, and security. The solutions were specifically tailored to the needs of a military environment and meet the highest standards in terms of performance, stability, and code quality. The introduction of agile development methods (Scrum) optimized development processes, strengthened interdisciplinary collaboration, and sustainably increased team productivity. This resulted in several robust and secure software solutions that have been explicitly praised by customers and end users for their performance and quality, forming the basis for a successful, long-term partnership.