I’ve been engaging audiences at colleges and community events through thoughtful talks. I’m driven by a passion for sharing my knowledge and experiences to inspire and connect with others.
The second talk at the Campus Cloud Cafe focused on demonstrating the concept of Semantic Kernel and its application in .NET development. I explored how it can be utilized and discussed various AI models that can be selected depending on specific use cases.
Large Language Models (LLMs) like ChatGPT, DeepSeek, and Ollama are revolutionizing software development by enabling natural language understanding, content generation, and intelligent automation. But how do you seamlessly integrate these cutting-edge AI models into your .NET applications without reinventing the wheel? In this practical talk, we’ll explore Semantic Kernel, an open-source SDK from Microsoft designed to simplify the integration of LLMs into .NET ecosystems. Whether you’re building chatbots, automating workflows, or enhancing user experiences with AI, this session will equip you with the tools to harness the power of LLMs in your applications.
In a video that’s now available, I delved into the topic of how industrial software systems are constructed. This past event explored the development of software tailored for factory environments, where low latency, traceability, and high uptime are critical. I demonstrated our approach to building such software and highlighted the essential components that drive its success. (Note: The video is presented in Dutch.)
The first talk at the Campus Cloud Cafe was an engaging event where I introduced the concept of Semantic Kernel and demonstrated its integration into .NET applications. During the session, I showcased its practical use through a real-world example, highlighting how it can be leveraged to create a chatbot and explore additional possibilities.