Ahmed Farooqi

WORK HISTORY

EDUCATION

ABOUT AHMED FAROOQI

My engineering career didn\'t start in a lecture hall; it started at sixteen in the open market with a tech blog and freelance clients. That early exposure taught me a fundamental truth: technology is not just code; it is the engine of commerce.Scaling my own agency, Brander’s Jack, to deliver digital strategies for global clients taught me to pivot, hustle, and take absolute ownership of outcomes. But as I scaled these ventures, I realized that the ultimate leverage wasn\'t in marketing—it was in the underlying systems architecture.This realization drove my transition into rigorous Systems Engineering. Today, I bring an \"intrapreneur\'s\" mindset to High-Assurance AI. I don\'t just clear Jira tickets; I treat every line of code as an asset that must be scalable, secure, and highly performant for the enterprise.My MSc research solves the \"black box\" liability in deep learning by engineering Type-2 Neurosymbolic Architectures—systems that bridge probabilistic neural networks with strict, mathematically deterministic logic. I am currently architecting two major digital twin frameworks focused on AI safety: High-Frequency Enterprise Risk Systems: Engineered a neurosymbolic pipeline utilizing System-on-Chip (SoC) Unified Memory for Zero-Copy IPC. This architecture processes over formal logic decisions per second at <0.005 ms latency. It proves that \"Glass Box\" explainability does not have to degrade real-time performance, effectively reducing concurrency race conditions (double-booking) to absolute zero. Project Arx (Autonomous Vehicle Safety): Developing a 60Hz tethered digital twin to stress-test AVs against extreme, Out-of-Distribution (OOD) edge cases. By decoupling high-speed physical kinematics from neural perception, the system passes the scene graph through a formal Theorem Prover (Z3). This mathematically guarantees ISO 21448 (SOTIF) compliance and resolves complex collisions through a legally auditable \"Minimal Harm Protocol.\"I am an AI Systems Engineer who speaks the language of the boardroom. I understand that a model with 99% accuracy is useless if it cannot be deployed cost-effectively, scale without bottlenecking, and be implicitly trusted by regulators.If you are looking for a technical partner who has been in the trenches, builds mathematically safe autonomous systems, and takes radical ownership of your team\'s mission, let’s connect.