Maya Calder is a writer and technologist who explores the intersection of machine intelligence, design, and society. She began her career building conversational AI and edge ML systems at health-tech and robotics startups, then moved into product strategy and policy advising for cities experimenting with responsible AI. Her work blends hands-on technical experience with a wide-angle view of how emerging technologies reshape work, privacy, and civic life.

Today Maya writes about practical futures: the small design choices that decide whether a system empowers people or erodes trust, the hidden costs of optimism in product roadmaps, and the everyday ethics of deploying models at scale. She publishes a quarterly newsletter, mentors early-stage founders, and speaks at conferences where she pushes for clarity, accountability, and inclusive design. When she’s not translating research into readable stories, she’s sketching speculative prototypes, biking through her city, or trying to perfect a sourdough starter.