Robin Morgenstern
Software engineer building at the intersection of AI, computer vision, and real-time systems.
Currently pursuing an M.Sc. at TU Dresden. Previously shipped a GPS game to 10,000+ users.
About
I am pursuing a Master's degree in Computer Science at TU Dresden, combining advanced academic research with active roles as a research assistant and freelance systems engineer.
In my freelance work, I specialize in transforming complex requirements into reliable, user-facing applications. My recent work includes engineering and deploying HideZone, which is a real-time, GPS-enabled mobile game that scaled to over 10,000 organic downloads across the App Store and Google Play. I also developed a secure, custom remote desktop client featuring time-linked authentication for an enterprise client.
At TU Dresden, my research and development work sits at the intersection of computer vision and edge computing. I am currently designing a Raspberry Pi edge system that processes real-time object detection models to overlay precise, projector-based augmented reality instructions directly onto industrial machinery.
Technically, my core expertise spans full-stack engineering, distributed systems architecture, and machine learning integration. I focus on developing clean, testable, and highly optimized codebases that solve tangible operational problems. I approach engineering challenges with rigorous analysis, a rapid prototyping mindset, and a strong commitment to technical excellence.
Experience
Working Student in Automation, Robotics, and AI (via Siltectra GmbH)
Infineon Technologies AG- Developing and maintaining internal tools and applications for semiconductor manufacturing processes.
Independent Software Developer
Self-Employed- Engineered and deployed HideZone, which is a location-based mobile game that acquired over 10,000 organic downloads across the App Store and Google Play.
- Developed and delivered a secure remote desktop client featuring time-linked authentication for an enterprise client.
Student Assistant
TU Dresden- Trained SSD object detection models on custom industrial machinery datasets.
- Engineered a Raspberry Pi edge system integrating camera calibration, server auto-discovery, and projector-based augmented reality overlays.
- Built the distributed network pipeline connecting Dockerized backend inference servers to edge devices.
- Dockerized the deployment pipelines to guarantee complete reproducibility across laboratory environments.
Skills
The tools and technologies I reach for most.
Languages
ML & AI
Frameworks
Infrastructure
Projects
Selected work across machine learning, mobile, and systems engineering.
AI Maintenance Assistant
An interactive industrial maintenance assistant leveraging real-time edge computer vision and large language models for localized repair guidance.
HideZone: IRL GPS Hide & Seek
A location-based, real-time multiplayer game featuring live GPS geofencing, tactical inventory mechanics, and high-performance server synchronization.
Bachelor Thesis
Automated knowledge graph creation via multi-object detection for an AI maintenance assistant
SecretLLM: Cultural QA System
Parameter-efficient fine-tuning and dynamic RAG alignment for cultural reasoning on quantized Llama-3-8B.
Portfolio Website
A high-performance, motion-driven technical showcase demonstrating modular frontend design and responsive UX best practices.
Software Technology Internship
An enterprise beverage logistics and automated inventory replenishment system built with Spring Boot and Agile methodologies.
Autonomous Maze Navigator
A Python-based robotic control system and graph-search navigation pipeline for autonomous rovers.
Let's talk.
I am always open to discussing technical collaborations, systems architecture, or engineering opportunities. Feel free to reach out to discuss how we can work together.
Get in Touchmorgensternrobin04@gmail.com