Anna M.

I lead AI products from early discovery through technical delivery and production: defining what should be built, translating business needs into workable product decisions, and keeping engineers, domain experts and stakeholders aligned around the result. My work sits at the intersection of AI product management, technical delivery and applied machine learning. I am strongest where a product requires both strategic direction and enough technical depth to make sound decisions on architecture, data, model choice, retrieval quality, integrations, cost, latency and operational risk. I have delivered work across aviation, healthcare, banking, media and enterprise platforms. Recent work includes an aviation AI platform with a regulation-aligned LLM/RAG assistant, real-time flight-data integrations and a configurable B2B API; deep-learning solutions for MRI and chest X-ray analysis; NLP and RAG-based health assistants; and a mobile SuperApp transformation project for Bank CenterCredit, where I facilitated executive design-thinking sessions and bridged product and integration work between the bank and Ant Group’s mPaaS engineering teams. My governance work focuses on responsible AI delivery: risk-based design, clear accountability, documentation, AI system controls, assurance readiness, and the practical application of ISO/IEC 42001 principles across the AI lifecycle.