Projects

Agile Product Management for Mobile Device Management Solutions

Agile Product Management for Mobile Device Management Solutions

Agile SCRUM CSPO JIRA Rally Redmine MKS Integrity IOS Android Windows Phone Symbian BlackBerry

In the field of software development, we have successfully implemented and led agile product management processes for our clients. We supported teams in planning, executing, and monitoring sprints, releases, and visions as Product Owner.

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Development of a Music Player App (Mobile/Web)

Development of a Music Player App (Mobile/Web)

Android Svelte TypeScript Spotify API QR-Code Computer Vision

We developed an app and platform to transform old smartphones into a music player. The application integrates the Spotify API and offers features such as QR code generation and scanning as well as computer vision features.

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Development of a Parental Control App for Smartphones/Tablets

Development of a Parental Control App for Smartphones/Tablets

IOS Android Ionic API AWS Docker Scrapy Golang

We developed an iOS and Android app as a parental control app called “Tante Agathe”. The application includes backend services for device management and API, push notifications, and containerized cloud deployment on AWS.

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Development of a WiFi-Based Crowd Monitoring Platform

Development of a WiFi-Based Crowd Monitoring Platform

Python Angular TypeScript Data-Science Microsoft Azure Open API Docker WiFi OpenData

We developed a system for capturing WiFi-based crowd intelligence data. The system is based on a microservice architecture and a SPA frontend implemented with Angular. Deployment is done on Microsoft Azure using Docker containers.

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Development of an Alexa Skill for App Rating for Children

Development of an Alexa Skill for App Rating for Children

Voice Alexa Python Scrapy

We implemented an Alexa skill for rating apps for children. The skill is based on the Alexa SDK and features backend support.

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Executable Machine Learning (ML) Tutorials

Executable Machine Learning (ML) Tutorials

Machine Learning Computer Vision Style Transfer GCP Open Source Python TensorFlow PyTorch Colab Jupyter Github

We developed executable examples for Computer Vision and Style Transfer to demonstrate the possibilities of machine learning to our clients. These examples were successfully deployed on open-source platforms as well as Google Cloud Platform (GCP).

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Hardware Product Design - 3D Printing and CNC Milling

Hardware Product Design - 3D Printing and CNC Milling

OpenSCAD FreeCAD Prusa 3D GRBL

We developed 3D printed parts and CNC-milled components for the music player app. The parts were printed with a Prusa 3D printer and subsequently machined with a CNC milling machine.

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Machine Learning - Block Course at LMU Munich

Machine Learning - Block Course at LMU Munich

Machine Learning Supervised Learning Reinforcement Learning Computer Vision GAN Transformer LMU Munich

We conducted a machine learning course at the Department of Psychology and Education at LMU Munich. The course taught fundamental concepts of supervised learning and reinforcement learning as well as advanced topics such as computer vision, style transfer, GANs, and transformers.

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Nao Robot Demo Kit Design

Nao Robot Demo Kit Design

Robotics Nao Robot Aldebaran

We designed a demo kit for the Nao robot to showcase the robot’s capabilities at trade shows. The kit includes an interaction design implementation with the Choreographe Suite and a comprehensive platform overview.

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Workshop "Art and Artificial Intelligence"

Workshop "Art and Artificial Intelligence"

Machine Learning Artificial Intelligence AI Computer Vision Neural Networks Workshop

We conducted a workshop on “Art and Artificial Intelligence” at the Buchheim Museum Bernried. The workshop served to discuss the relationship between artistic styles and their interpretation by neural networks and to experiment with them ourselves.

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