I have 20 years of strong background in Software Quality and Product Management, with a focus on shaping AI-driven autonomous decision-making and automation solutions. I align AI-powered automation with business objectives by identifying market trends and customer needs in agentic AI and contributing to the development of product roadmaps for AI automation features and integrations.
I collaborate closely with data scientists, ML engineers, and UX designers to integrate machine learning models, reinforcement learning, and autonomous decision-making systems. My role involves defining requirements for AI agents, ensuring explainability, reliability, and scalability, and overseeing the design of end-to-end automation pipelines. Additionally, I strike the right balance between human-in-the-loop (HITL) and full automation, considering risk and compliance requirements.
I conduct user research to understand automation challenges, gather feedback from early adopters, and iterate on AI-driven workflows. Working closely with Sales and Customer Success teams, I help refine AI agent capabilities to enhance user adoption and efficiency.Additionally, I monitor AI performance metrics (accuracy, precision, recall, F1-score), ensure compliance with AI governance frameworks, and implement feedback loops to continuously refine AI models for optimal performance.
I am Lean-certified and Green Belt tested, with in-depth expertise in process methodologies and governance structures. I have led Project Management Office (PMO) initiatives, establishing strategic guidelines and frameworks to enhance the efficiency and reliability of project execution, ensuring consistent delivery of strategic results.