I have a diverse technical background, starting with Android and web development before transitioning into machine learning research during my master’s studies, where I focused on multi-task learning.

My exposure to federated learning and AI security & privacy made me realize the critical security challenges in AI, leading me to shift my focus towards confidential computing. During my Ph.D., I specialized in low-level system security for confidential virtual machines (CVMs), exploring secure system architectures, virtualization security, and trusted execution environments (TEE).

🔹 Confidential Computing – CVM security, TEE, virtualization security
🔹 AI Security & Privacy – federated learning, adversarial ML, secure AI training & inference

I am passionate about building secure and efficient system architectures to enable next-generation privacy-preserving computing. Let’s connect! 🚀