π» IoT Software Engineer @ iosys | MSc Artificial Intelligence (in progress) | BSc Informatics β‘ Specializing in full-stack development, industrial IoT, and AI-driven solutions
Iβm building my career at the intersection of software engineering, cloud architectures, and machine learning. From blockchain-based federated learning to low-cost industrial computer vision, I focus on creating scalable, high-impact systems.
- π― Core strengths: Problem-solving, system design, and delivering production-grade solutions
- π οΈ Experienced in Azure-hosted microservices, DevOps, and data engineering for industrial IoT
- π§ Academic focus: Artificial Intelligence (MSc) & Software Engineering (BSc)
- π Multiple academic projects recognized for innovation
Languages & Frameworks
- C# (.NET Core, ASP.NET Web API)
- Python (FastAPI, PyTorch, data pipelines)
- Java (Spring Boot)
- JavaScript/TypeScript (Angular, React)
- C# (Xamarin, ASP, EF)
Cloud & DevOps
- Microsoft Azure (Containerization, DevOps)
- Docker & container orchestration
- CI/CD pipelines & cloud reliability engineering
Specialties
- Industrial IoT data engineering & visualization (Databricks)
- Blockchain & smart contracts (Ethereum, Web3)
- Computer vision & image processing
- Distributed systems & federated learning (Created own Framework)
- P2P and Onioning over Mixnet
- MSc Artificial Intelligence, Computer Science β University of Zurich (2024β2026)
- BSc Informatics, Software Engineering β University of Zurich (2021β2024)
- BSc Business Engineering, Innovation β University of applied Science Lucerne (2018β20021)
βThe best way to predict the future is to build it.β