Troels Kaldau
Software Developer with a focus on end-to-end mobile applications
TL;DR
Experienced in managing real-time data and application state, ensuring seamless synchronization across systems and devices. Proficient in technologies like MongoDB Change Streams, WebSockets, and state management libraries such as Riverpod.
Riverpod is a state management solution for Flutter that provides a predictable and scalable way to manage application state.
I have relied heavily on Riverpod and its provider-based approach to reactive state management in Flutter. Its transformative and reactive approach allowed me to build complex data networks, reducing boilerplate code and isolating concerns. However, using the provider-based approach efficiently requires careful consideration of the data network being built to avoid performance implications and side effects.
MongoDB Change Streams allow applications to react to real-time data updates in a MongoDB database.
I have integrated MongoDB Change Streams into multiple projects, enabling efficient real-time updates for applications. By leveraging this technology, I’ve implemented live dashboards and event-driven architectures where changes in the database trigger automatic updates across clients. It was also a core feature of my bachelor’s thesis, where I carried out a performance analysis to improve the efficiency of the solution system.
WebSockets provide a persistent, low-latency connection for real-time communication between clients and servers.
Most of my frontend projects have relied on WebSockets for real-time data, using an operations model to ensure that the data is always up to date. I have also experimented with delta-based updates to reduce the amount of data sent over the network.
gRPC is a high-performance remote procedure call (RPC) framework designed for low-latency, real-time applications.
I have experimented with gRPC to test both performance and implementation differences between it and REST. For my bachelor's thesis, I implemented a gRPC service to test the performance of the system in comparison to REST calls.