I started as a mechanical engineering student at @Uni_Mumbai, doing CAD and graphics design, learning the basics. @Vertiv gave me my first shot, four years learning how the physical world actually gets built. Then I bet on myself: moved across the world for a masters in industrial engineering at @TAMU. @Tesla taught me that impossible timelines are just timelines. @amazon taught me what scale truly demands. Each chapter taught me one job, deeply. Then @maticrobots @mehul @navneetdalal @anshuman_builds did something no one else had: trusted me with all of them at once. NPI is where I live. Taking a design that exists only in engineering conversations, and building every process needed to make it real: supplier readiness, change management, production planning, quality systems. When there is no playbook, you write one. I have written many here. And inventory. Thousands of parts across multiple warehouses, every unit accounted for, without a traditional ERP. We built our own systems from scratch. Knowing exactly what you have and where it is sounds simple. At scale, it is everything. Jack of all trades, master of none, but oftentimes better than a master of one. In hardware, units do not die inside departments. They die in the gaps between them. Own the whole chain and there are no gaps. Today Cues is out in the world, and I have watched these robots roll off the line thinking: this one is mine. From a classroom in Mumbai to this. Grateful does not begin to cover it. #PhysicalAI#