Summary
Constance Beguier is an applied cryptographer with a decade of experience translating cutting-edge privacy tech—ZKPs, SMC, FHE, and differential privacy—into production-ready systems. She currently researches and implements ZK tooling and Zcash Shielded Assets at QEDIT while co-founding Tandem Technology to consult on ZKP circuits, Solana smart contracts, and privacy-preserving ML. Her background spans biometric cryptography and healthcare ML from Safran and Owkin, where she combined research publications and patents with practical secure multiparty and federated learning deployments. Comfortable in Rust, Go and shell scripting, she has contributed to DARPA SIEVE zkinterface efforts and implemented halo2-based Rust components, highlighting a rare blend of protocol-level research and systems engineering. Based in Strasbourg, she also builds training programs and runs security simulations, making her as effective advising teams as she is coding proofs-of-concept. Notably, her profile mixes deep academic roots from Télécom Paris and KTH with hands-on blockchain development on Solana, reflecting a pragmatic approach to applied cryptography.
10 years of coding experience
3 years of employment as a software developer
Classe Préparatoire MPSI-MP*, Classe Préparatoire MPSI-MP* at Lycée Corneille
Machine learning et intelligence artificielle, Machine learning et intelligence artificielle at KTH Royal Institute of Technology
Diplôme d'ingénieur, Cryptographie et théorie de l'information, Diplôme d'ingénieur, Cryptographie et théorie de l'information at Télécom Paris
Solana developer, Solana developer at Alyra, l'école blockchain & IA
French, English