In this talk, I’ll share my journey into building a privacy-conscious development workflow—how I began to understand the risks of handling user data, the challenges I faced, and the practical techniques that helped me get started. We’ll explore core privacy-preserving strategies such as data anonymization, synthetic data generation, and federated learning.
The session will also cover how to begin applying privacy metrics to evaluate and improve data protection efforts. Designed for developers who are new to this space, this talk offers a beginner-friendly introduction to building a privacy-preserving developer toolkit.