Alexander Sucala
Independent Researcher · Systems Engineer · Inventor
Deterministic AI governance, fail-closed execution, and geometry-driven field computation (AUFG).
About
Alexander Sucala is an independent researcher and systems engineer working on deterministic AI governance architectures and geometry-driven field computation. He designs artifact-based control frameworks for large language model (LLM) systems and leads the Alexandrian Unified Field Geometry (AUFG) program—an independent, falsification-first effort in geometry-driven field computation.
His AI work centers on externalized authority, reproducibility, failure-mode isolation, and auditability in autonomous and semi-autonomous systems. He approaches LLMs as probabilistic components embedded within deterministic control structures—not as decision-making agents.
He runs lab-grade, falsification-first research with strict experimental locking, constraint ledgers, and reproducible pipelines. He has authored multiple research papers and filed multiple provisional patent applications spanning AI governance, exploratory computational systems, and geometric coupling architectures.
Background: He grew up in the Silicon Valley and studied computer science, engineering, Communications and business administration at De Anza Community College.
What he builds
- Fail-closed execution and deterministic orchestration for AI-assisted workflows
- Artifact-based governance: validation, audit trails, and authority separation
- Reproducible research pipelines for exploratory computational systems
- AUFG: geometry-driven field models and computational experiments
He designs systems that fail closed, replay exactly, and stay auditable under stress.
Outside of work
For fun he rides motorcycles, hikes, travels, reads, and keeps building—AI systems, research tooling, and experiments.