AndrosBlandon.
AI engineer and cybersecurity researcher building systems that protect institutions from synthetic document fraud.
In 2025, generative AI reduced the cost of producing convincing synthetic identity documents to near zero.
Existing verification systems — built for an era of analog forgery — cannot reliably distinguish authentic credentials from machine-generated fakes at scale. Banks, government agencies, and trust-based institutions face a verification problem they were never designed to solve.
SentinelVerify is my answer: a multi-signal detection platform combining metadata forensics, error-level analysis, spectral fingerprinting, and transformer-based vision reasoning to identify synthetic documents at institutional scale.
READ THE FULL CASE STUDY→Detection systems
Synthetic media forensics, document fraud detection, and verification infrastructure for institutions.
Production AI
Multi-tenant SaaS platforms and engineering systems that ship to real users at scale.
Threat modeling
Building for adversarial environments — what fails first, what defends, what scales.