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Robin Morgenstern.

I build dependable software across AI, automation, mobile, and distributed systems.

M.Sc. Computer Science student at TU Dresden. Working Student at Infineon & developer of HideZone.

Last commit 2d ago
Robin Morgenstern

About

I am a Computer Science Master's student at TU Dresden. Alongside my studies, I work as an Automation & AI working student at Infineon (Siltectra), as a student assistant at the university, and as an independent software developer.

At Infineon, I build internal applications and automate operational workflows, including an AI-assisted Jira ticket pipeline and improvements to a maintenance chatbot. At TU Dresden, my work spans computer vision, edge systems, knowledge graphs, and LLM evaluation for industrial maintenance.

As an independent developer, I build and run complete products. HideZone, my real-time GPS multiplayer game, has reached more than 40,000 downloads across Google Play and the App Store. I have also delivered remote desktop and virtual-machine support tools for enterprise clients.

I work mainly with Python, Docker, Flutter, and TypeScript. I prefer clear system boundaries, useful tests, and software that remains dependable after it ships.

Experience

Working Student, Automation & AI

Infineon Technologies AG (via Siltectra GmbH)
05/2026 - Present
  • Develop and maintain internal applications that support semiconductor manufacturing workflows.
  • Extend an internal maintenance chatbot with workflow automation and enterprise authentication, including Single Sign-On.
  • Built an AI-assisted workflow that turns meeting recordings into structured Jira tickets.

Independent Software Developer

Self-Employed
10/2025 - Present
  • Built and now operate HideZone, a real-time GPS multiplayer game with more than 40,000 organic downloads across Google Play and the App Store.
  • Delivered a remote desktop client with time-bound authentication for an enterprise customer.
  • Built a mail-routing service that forwards incoming messages to users on dynamically assigned virtual machines.

Student Assistant

TU Dresden
03/2024 - Present
  • Developed a distributed maintenance-assistant prototype with SSD object detection, Dockerized Flask services, and Raspberry Pi edge hardware.
  • Implemented camera calibration, image-quality checks, local server discovery, and projector-based guidance for industrial machinery.
  • Built a pipeline that converts single- and multi-camera object detections into OWL knowledge graphs with derived spatial relations.
  • Currently developing an LLM-based ontology generation and benchmarking suite with hierarchical merging, automated quality evaluation, and a Next.js control interface.

Skills

The tools and technologies I reach for most.

Languages

PythonDartJavaJavaScriptTypeScriptC#

ML & AI

TensorFlowPyTorchTransformersObject Detection (SSD)LLMs / RAG

Frameworks

FlaskFlutterFirebaseNext.jsReactSpring BootTailwind CSSFramer Motion

Infrastructure

DockerGit / GitHubJiraRaspberry PiNode.jsNode-REDInfluxDBN8NApache Kafka

Projects

Selected work across machine learning, mobile, and systems engineering.

HideZone: IRL GPS Hide & Seek

Solo build · 40,000+ downloads · 2025 - present

HideZone: IRL GPS Hide & Seek

A real-time outdoor multiplayer game for iOS and Android, with live GPS, custom play zones, tactical items, and seven game modes. 40,000+ downloads.

FlutterDartFirebaseRiverpodGeolocationGame Development
LLM-Based Ontology Generation

Research paper · TU Dresden · 2026 - present

LLM-Based Ontology Generation

An experimental framework that turns long-form text into structured ontologies, merges them hierarchically, and benchmarks their semantic and structural quality.

PythonLLMsOWL and RDFKnowledge EngineeringNext.js
AI Maintenance Assistant

Research project · TU Dresden · 2024 - 2025

AI Maintenance Assistant

A projection-based maintenance prototype that detects machine components on a server and maps visual guidance back onto the physical workspace.

PythonTensorFlowDockerFlaskRaspberry Pi
Bachelor Thesis: Spatial Knowledge Graphs

B.Sc. thesis · Graded 1.4 · 2025

Bachelor Thesis: Spatial Knowledge Graphs

Generating OWL knowledge graphs from object-detection output and evaluating how graph structure, format, and model size affect spatial question answering. Graded 1.4.

PythonSemantic WebComputer VisionLLMsResearch

Let's talk.

Have a role, a project, or just a technical question? My inbox is open.

Get in touch

morgensternrobin04@gmail.comDresden, Germany