Machine Learning Developer &
Applied Cryptography Researcher
Bridging the gap between theoretical cryptographic research and production-ready AI infrastructure. Currently an Erasmus Mundus Scholar in CyberMACS.
I'm a Machine Learning Developer specializing in privacy-preserving systems. With a robust engineering foundation from my tenure as a Senior Backend Developer at Veda Studios, I combine expertise in scalable microservices and end-to-end encryption with rigorous, experimental machine learning.
Currently pursuing my Master's in Cybersecurity (CyberMACS) at Kadir Has University as an Erasmus Mundus Scholar. My work is anchored in applied research and secure system design — building systems that protect user data without compromising analytical functionality.
Currently
Erasmus Mundus Scholar
CyberMACS, Kadir Has University
Previously
Senior Backend Developer
Veda Studios
Empirical experiments on privacy-utility trade-offs within differentially private classifiers. Research accepted for publication at the 23rd CIIT Conference.
A machine learning system for SSH brute-force attack detection and credential rotation.
Exploring practical applications of Homomorphic Encryption, Differential Privacy, and Lattice-based Post-Quantum Cryptography.