Fatemeh Mosleh
Full Stack Developer - Rail Safety Standard Board
London, United Kingdom
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I am a Full Stack Software Engineer with hands-on experience building scalable, user-focused web and data-driven applications. My work spans frontend development with React and Angular, backend systems using C# and Python, and cloud-native architectures on Azure with Kubernetes. I have delivered end-to-end solutions, from user interfaces to backend services, and regularly collaborate with product managers, designers, and infrastructure teams. In addition, I have experience in AI and data engineering, including machine learning and PySpark, supported by a Master’s degree in Artificial Intelligence (Distinction) from the University of East London.
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What Does “AI in Production” Really Mean?
AI often looks great in demos, but things change once it’s used in real systems. This panel is about what actually happens when AI is deployed in applications and software development.
The discussion will focus on everyday challenges teams face, such as dealing with messy data, scaling AI services, and keeping systems reliable as users and behaviour change. I will share real experiences from building and running AI systems, including what worked, what didn’t, and what they would do differently.
Instead of focusing on models or theory, the session will look at the practical side of AI in production. The goal is to help engineers and technical leaders better understand the trade-offs involved in building AI systems that work reliably in real-world environments.
This session is for anyone working with AI in development who wants a clearer picture of what “AI in production” really means.
Fatemeh Mosleh
Full Stack Developer - Rail Safety Standard Board
London, United Kingdom
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