Summary
Vafa Andalibi is a Senior Security Software Engineer with a decade of experience building large-scale, ML-driven defenses for Android, cloud, and edge platforms. At Google he designed and scaled malware analysis infrastructure and unsupervised learning systems for automated threat clustering and code-similarity search across billions of artifacts, materially reducing user exposure to high-velocity threats. He combines applied research—holding a PhD focus in ML for security and privacy—with hands-on engineering, from Lambda/DynamoDB vulnerability inventory services to security orchestration integrations. Vafa has taught application security and co-instructed multiple cybersecurity courses, translating complex research into practical curriculum and tooling. His background spans academia and industry research in computational neuroscience and bio-integrated systems, reflecting an uncommon blend of security, machine learning, and systems simulation expertise. Based in Philadelphia, he focuses on pragmatic, scalable solutions that bridge research insights and production-critical security infrastructure.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science (ML in Security & Privacy), Doctor of Philosophy - PhD, Computer Science (ML in Security & Privacy) at Indiana University Bloomington
English, Persian