GK Geoffrey Karnbach
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Software engineer - distributed systems - backend architecture

I build reliable software systems for graph-heavy, cloud-native problems.

I am a Software Engineering M.Sc. student at TU Wien with a current GPA of 1.0, focused on distributed systems, backend engineering, observability, graph databases, and machine learning for software systems.

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TU Wien Software Engineer B.Sc. with distinction Open-source research software Vienna, Austria

Current Focus

Master's thesis: graph-based root cause analysis

I am working on automated Root Cause Analysis for microservice architectures using OpenTelemetry data, service dependency graphs, and Graph Neural Networks.

  • Containerized microservice testbed with controlled fault injection and synthetic traffic generation.
  • Telemetry pipelines with OpenTelemetry, Prometheus, and Jaeger.
  • Graph snapshot construction, labeled dataset generation, and PyTorch Geometric experiments.
  • Evaluation with Top-1, Top-3, and ranking-based RCA metrics.
Aug 2024 - Jun 2026

Software Engineer, TU Wien - DAMAP

Software engineering with Quarkus, Angular, backend services, architecture work, and open-source tooling for machine-actionable data management plans.

Dec 2022 - Sept 2023

Student Research Assistant, TU Wien - OSSDIP

Contributed to research projects around secure open-source data infrastructure and processes.

TU Wien

Software Engineering education

M.Sc. Software Engineering in progress. B.Sc. Software and Information Engineering completed with distinction and a 1.4 average.

Selected Work

CineVerse

Knowledge graph

Graph-native cinema analytics platform with a Neo4j knowledge graph containing more than 47,000 movies, 286,000 people, and 800,000 relationships from IMDb, TMDB, and Wikidata.

Open on GitHub

TaskInn

Architecture

Production-scale hotel management platform built by a six-person team. I worked as Technical Architect across system design, CI/CD, backend components, WebSockets, Stripe, and Kubernetes deployment.

Open on GitHub

HALT

Distributed systems

Vehicle-to-Infrastructure simulation using an event-driven microservice architecture with more than 20 containerized services, RabbitMQ, REST APIs, NGINX, Kubernetes, and Skaffold.

DataVision

Digital twin

Digital Twin platform that transforms heterogeneous IoT sensor streams into a semantic knowledge graph using MQTT, Neo4j, Prometheus, Node-RED, and Angular dashboards.

Read documentation

Tech Stack

Languages

Java, Python, TypeScript, SQL, Cypher

Backend

Quarkus, Spring Boot, Flask, REST APIs, WebSockets

Frontend

Angular, D3.js, Bootstrap, interactive dashboards

Data and Graphs

Neo4j, Graph Data Science, PyTorch Geometric, PostgreSQL

Infrastructure

Docker, Kubernetes, GitLab CI/CD, Prometheus, Jaeger, RabbitMQ, AWS