Quark ↗Shipping
AI-native CAD product that helps makers turn ideas into manufacturable designs in minutes.
Mariana Silva
I turn frontier technology into products that feel effortless.
I turn frontier technology into products that feel effortless.
My background spans product leadership and applied AI. I studied mechanical engineering, started my career building machine learning systems with customers, and later moved into product. I enjoy turning complex technology into products that feel simple and enjoyable.
Over the past few years, I’ve focused on building and scaling 0→1 AI products. At PhysicsX, I joined as the first product hire and led the development of an AI platform for physics simulation, helping mechanical engineers use AI to design better cars, aircraft, and other industrial products. I took the platform from early research to production deployments with major automotive and aerospace companies, while growing the product and engineering organisation to 35+ people. I then joined Tessl to build in the emerging world of coding agents, leading product work for an agent enablement platform that helped engineering teams operate coding agents effectively in large codebases.
Earlier in my career, I spent nearly five years at QuantumBlack, AI by McKinsey, first as a forward-deployed engineer helping Fortune 500 companies apply machine learning to complex problems, and later as a product manager, building AI DevTools.
These days, I am exploring how AI and new interaction paradigms can make CAD tools radically simpler.
Outside work, I’m endlessly curious. I spend most of my time reading and, more recently, learning to draw — partly for the joy of it, and partly as a reminder that before you can simplify something, you have to learn to see it clearly.
Ideas I’m exploring through building.
AI-native CAD product that helps makers turn ideas into manufacturable designs in minutes.
Built an agent enablement platform that helped engineering teams understand, evaluate, and improve AI coding agent performance across large codebases.
Led product strategy and execution for an AI platform for physics simulations that helped mechanical engineers design better cars, aircraft, and industrial products.
Built AI DevTools that made it faster and easier for teams to develop machine learning applications.
Delivered machine learning solutions and data infrastructure as a forward-deployed engineer for Fortune 500 customers across finance and life sciences.
Built data pipelines and analytics dashboards as a forward-deployed engineer using Keboola's platform.