I’m a product-oriented delivery leader operating at the intersection of AI, platforms, and enterprise systems—bridging product discovery, technical execution, and production readiness. Over 9+ years, I’ve led 0→1 and phased product initiatives across SaaS, real estate tech, and financial services, owning problem discovery, MVP definition, SDLC execution, and release management. At JLL, I’ve delivered AI-enabled platforms and revenue systems (Lead-to-Cash, Salesforce) used by global enterprise and Big Tech clients, managing portfolios exceeding $9M. My strength is translating ambiguous business and technical problems into production-ready systems: • Defining MVPs, success metrics, and phased launch strategies • Partnering with engineering, data, security, and legal on architecture, trade-offs, and risk • Leading end-to-end SDLC (discovery → build → UAT → release → adoption) • Driving release readiness, dependency management, and operational stability I work deeply in applied AI—supporting teams as they move from experimentation to production: • Integrating LLMs, ML models, and agentic workflows into real products • Defining evaluation criteria, human-in-the-loop controls, and operational guardrails • Embedding AI governance, safety, and risk considerations directly into product design With an MBA, CSPO, and data science background, I bring product judgment, systems thinking, and execution rigor—equally comfortable shaping roadmaps, unblocking engineers, and aligning GTM teams to ensure products ship and scale.…I’m a product-oriented delivery leader operating at the intersection of AI, platforms, and enterprise systems—bridging product discovery, technical execution, and production readiness. Over 9+ years, I’ve led 0→1 and phased product initiatives across SaaS, real estate tech, and financial services, owning problem discovery, MVP definition, SDLC execution, and release management. At JLL, I’ve delivered AI-enabled platforms and revenue systems (Lead-to-Cash, Salesforce) used by global enterprise and Big Tech clients, managing portfolios exceeding $9M. My strength is translating ambiguous business and technical problems into production-ready systems: • Defining MVPs, success metrics, and phased launch strategies • Partnering with engineering, data, security, and legal on architecture, trade-offs, and risk • Leading end-to-end SDLC (discovery → build → UAT → release → adoption) • Driving release readiness, dependency management, and operational stability I work deeply in applied AI—supporting teams as they move from experimentation to production: • Integrating LLMs, ML models, and agentic workflows into real products • Defining evaluation criteria, human-in-the-loop controls, and operational guardrails • Embedding AI governance, safety, and risk considerations directly into product design With an MBA, CSPO, and data science background, I bring product judgment, systems thinking, and execution rigor—equally comfortable shaping roadmaps, unblocking engineers, and aligning GTM teams to ensure products ship and scale.WWWW…