Ph.D. student and software developer focused on Differential
Privacy, synthetic data generation, and privacy-preserving
Machine Learning systems.
Combines theoretical privacy research with practical system
development, including production-grade random number
platforms and standardized entropy distribution APIs.
Academic credentials include a Master's degree with
distinction, CERN research collaboration, and an ongoing
industry-academia partnership investigating the impact of
true randomness on privacy mechanisms.
Specialized in bridging fundamental research with
enterprise-grade technological solutions.