Sankar Palamadai is the Founder & CEO of Simple Machine Mind (smsquared.ai)—a people-first leader and hands-on builder focused on decision-first AI. His work sits at the intersection of data analytics, governance, and AI product development: taking real-world ambiguity and turning it into deterministic, explainable, policy-aligned decisions that teams can trust. He created EvaluatorDPT™ (Evaluator — Enterprise), a decision engine delivered as an inference-only API on Azure, designed for enterprise security posture, low latency, and auditable outcomes. The system produces clear YES / NO / TBD decisions backed by signal-level explanations, constraints, and confidence—so organizations can operationalize AI with accountability, not guesswork. Sankar holds a provisional patent in Cognitive Modeling and leads technology-only engagements spanning rapid model-development sprints; evaluation and governance (F1/precision/recall, thresholding, explainability); LLM integration (RAG/agents) with decision control; and secure, cost-lean MLOps on Azure. He’s also an AI enthusiast with a deep curiosity for quantum physics—bringing a systems mindset to building practical, production-grade AI. His long-term vision is AGI that can be trusted in the real world: systems that preserve human intent while remaining governed and auditable—and ultimately enable porting human cognition onto devices to support subjective, human-aligned decisions at the edge.