26.06.2026 aktualisiert


verifiziert
Premiumkunde
100 % verfügbarFreelance Full-Stack, Cloud, Edge & AI Engineer
Wien, Österreich
Weltweit
Master of Science - MS, Technische MathematikÜber mich
Full-Stack Developer für Web-, Mobile-, Cloud- und Edge-Systeme mit Fokus auf Angular, React, ASP.NET, Python, Azure und Cloudflare. Erfahrung in AI/ML, GIS, IoT und QA-Automatisierung. Entwicklung skalierbarer End-to-End-Lösungen von Architektur bis Deployment.
Skills
AI AgentsOllamaAsp.NetJavaAgile MethodologieApplication Lifecycle ManagementArcgisAtlassian ConfluenceAtlassian JiraMicrosoft AzureC#Mobile Application DevelopmentContinuous IntegrationInformation EngineeringDatenvisualisierung
As a Freelance Full-Stack, Cloud, Edge & AI Engineer, I design and deliver scalable web, mobile, cloud-native, and edge-native platforms with a strong focus on distributed systems, AI-assisted workflows, and data-driven applications. My expertise spans full-stack development, cloud and edge architectures, AI integrations, machine learning pipelines, geospatial analytics, industrial IoT systems, and scalable enterprise platforms.
With a strong background in software engineering and applied mathematics, I develop high-performance systems that combine modern web technologies with distributed cloud infrastructure, AI tooling, and advanced analytics. I work across the complete software lifecycle — from architecture and rapid prototyping to implementation, automated testing, CI/CD pipelines, cloud deployment, and long-term system evolution.
I specialize in globally distributed and serverless architectures using Cloudflare Workers, Cloudflare Pages, Cloudflare Queues, Azure services, and event-driven edge systems for low-latency, highly scalable applications deployed close to users and data sources. My stack includes ASP.NET Core, React, Angular, Next.js, Python, Node.js, TypeScript, Capacitor, Docker, Kubernetes, and modern cloud-native infrastructure.
My AI engineering experience includes MCP server development, AI agent integrations with Copilot and Claude, Retrieval-Augmented Generation (RAG) workflows, LSP/MCP tooling integration, local GPU-hosted Ollama models, Browser MCP integrations, and AI-assisted development and testing workflows using modern coding agents and automation tooling.
I also have experience in machine learning, computer vision, GIS and LiDAR processing, smart-grid analytics, and distributed IoT systems. My ML work includes semantic segmentation, time-series forecasting, object detection, and Physics-Informed Neural Networks (PINNs) using TensorFlow, PyTorch, CUDA, OpenCV, ONNX, Apache Airflow, and Dockerized inference services.
In addition, I design and implement automated testing and CI/CD strategies using Cypress, Playwright, Selenium, Postman, Jest, Jasmine, Karma, xUnit, Moq, and Pytest integrated into Azure DevOps, GitHub Actions, and GitLab CI/CD environments.
My work includes industrial lifecycle management systems, infrastructure monitoring platforms, smart-grid and energy optimization systems, geospatial analytics pipelines, and globally distributed edge applications with a strong focus on scalability, reliability, maintainability, and operational efficiency.
Sprachen
DeutschMutterspracheEnglischverhandlungssicherUkrainischGrundkenntnisseKroatischMuttersprache
Projekthistorie
Entwicklung von End-to-End Front-End und Back-End Lösungen für Web-Anwendungen zur effizienten Produktionsverfolgung für Asphaltmischwerke, Optimierung der Transportlogistik und Unterstützung von On-Site-Anwendungen für Bauunternehmen.
Verarbeitung von GIS- und Laserscannerdaten, Entwicklung automatisierter visueller semantischer Segmentierungsmodelle für Straßenzustandsüberwachung, Entwicklung von PhysicsInformedNeuralNetworks (PINN) im Bereich Gebäudedynamik und Erfindung einer patentierten Methode zur Bestimmung der Vorspannkraft von verankerten Ankern.
Entwicklung und Implementierung von Zeitreihenerkennungs- und Regressionsmodellen für das Smart-Grid-System in Hamburg zur Identifizierung von Elektrofahrzeug-Ladeinfrastruktur unter Berücksichtigung von Datenschutzanforderungen.