Jurre Brandsen
Software Engineer at Info Support
Software Engineer bij Info Support
Utrecht, The Netherlands
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Jurre is an enthusiastic professional who recently embarked on his journey as a Software Engineer at Info Support. With a background in Computer Science and several hands-on projects in .NET and AI development, Jurre has a particular interest in building scalable, high-performance applications within .NET development and Artificial Intelligence. During his studies, he developed a real-time data processing application using .NET and implemented machine learning algorithms to optimize system performance, sparking his interest in the power of distributed technologies.
With a solid foundation in IT and a passion for technology, Jurre brings a collaborative and solution-oriented approach to his work. He is eager to dive deeper into the world of software engineering and make meaningful contributions to the field. Jurre’s goal is to master the intricacies of software engineering, continually seeking opportunities to integrate AI in practical, impactful ways that drive innovation and add value.
Jurre is een enthousiaste professional die onlangs is begonnen als software-engineer bij Info Support. Met een achtergrond in computerwetenschappen en verschillende praktische projecten in .NET- en AI-ontwikkeling, heeft Jurre een specifieke interesse in het bouwen van schaalbare, hoogwaardige applicaties binnen .NET-ontwikkeling en kunstmatige intelligentie. Tijdens zijn studie ontwikkelde hij een realtime-dataverwerkingsapplicatie met behulp van .NET en implementeerde hij machine learning-algoritmen om de systeemprestaties te optimaliseren, wat zijn interesse in de kracht van gedistribueerde technologieën aanwakkerde.
Met een solide basis in IT en een passie voor technologie, brengt Jurre een collaboratieve en oplossingsgerichte aanpak in zijn werk. Hij wil graag dieper in de wereld van software-engineering duiken en zinvolle bijdragen leveren aan het vakgebied. Jurre's doel is om de complexiteit van software-engineering onder de knie te krijgen en voortdurend op zoek te gaan naar mogelijkheden om AI op praktische, impactvolle manieren te integreren die innovatie stimuleren en waarde toevoegen.
Area of Expertise
Topics
From Hype to Reality: Integrating Generative AI in a Changing Workforce
This session examines the integration of Generative AI (GenAI) into the workplace and its potential to enhance productivity amid economic challenges such as labour shortages and an aging workforce. Through a case study on a GenAI-powered code conversion pipeline, we show how the technology boosts efficiency but faces challenges such as organizational resistance, skill gaps, and insufficient buy-in. While AI is transformative, it is too early to conclude that we are in a Fourth Industrial Revolution—a judgment that can only be made in hindsight. Instead, AI demands a new workforce model with AI-augmented software engineers at its core. Based on our findings, we provide practical recommendations, including improving communication, upskilling teams, and starting with small AI pilots to foster organizational acceptance and ensure sustainable implementation.
GenAI from the trenches: from legacy to a modern development stack
Generative AI changes how we build software. Many of you use Github Copilot or other AI coding assistants daily or have tried one. Although these coding assistants are powerful, you can do so much more with GPT-4 to improve your software development game.
We combined Generative AI with software engineering best practices to translate a complete legacy codebase built in a low-code solution into a modern approach with Vue and Typescript. This allowed us to translate the codebase with 85% less effort than translating the code by hand. We took away the tedious work by automating it with AI while allowing engineers to review and improve the overall structure of the solution.
In this talk, you’ll learn how we use generative AI to translate complete code bases and how to iterate on your prompts using a Human-In-The-Loop principle. We’ll also demonstrate how generative AI can be a powerful asset for developers, enhancing rather than replacing human creativity.
The AI landscape in education: beyond ChatGPT
Artificial Intelligence (AI) is having an increasing impact on both society and individuals. With the arrival of ChatGPT in 2022, a magnifying glass was also shining on what the advent of AI would mean for education.
In this presentation, we explore the multifaceted impact of AI on education, focusing on three main axes: students, teachers and educational institutions. We provide insight into the various AI applications within education, with a special focus on applications that do not use ChatGPT-like techniques. We will also discuss the impact of these educational AI applications on the future of education and look at their socio-ethical aspects.
This session offers a unique opportunity to gain insight into the future of education and AI. Don't miss this opportunity to be at the forefront of educational transformation.
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