Bio

César Soto Valero is a Data Scientist at SEB Group, specializing in building real-time Machine Learning systems that secure financial transactions at scale. He holds a PhD in Computer Science from KTH Royal Institute of Technology, where his research focused on combating software bloat and improving the efficiency, security, and maintainability of large codebases. With a background spanning both academic research and industrial engineering, César bridges the gap between theory and practice by translating research breakthroughs into robust, production-grade AI systems. He is passionate about software engineering, artificial intelligence, and the practical challenges of deploying scalable, reliable technology in the real world.

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