Where this started: a journey in seven chapters

In Nepal, a distant kingdom among the Himalayas, a boy carried a hope more distant still: to stand one day upon the world’s stage. Bleak were the days, and ten souls kept one house. He left the village for Kathmandu in search of better schooling and found himself further behind than ever. He failed his ninth year and stood at the head of his class two years on. Even in the capital, he wrote his first code on paper, long before any machine was his to use.

He crossed the great water alone and learned to find his way in a new land. A full scholarship freed him to give every hour to the work ahead. From a small historically Black college on Florida’s Atlantic shore, he won dual enrollment at the University of Florida, the great Gator Nation. There he studied finance and computer science, and he sat in undergraduate and graduate halls in the same seasons.

Stanford and the National Science Foundation named him a fellow, charged with building a home for founders in underserved places like the one he grew up in. It was a Peace Corps in reverse: others had gone from America to serve in Nepal, and now he had come from Nepal to serve in America. There he gathered his first company of makers. Five strong, they carried a university from paper to the cloud, to apps and to decisions made on data, and saved it more than six million dollars. When the earth shook his homeland in 2015, he gathered the cries for help scattered across the wires into one map for the rescuers.

Data was rising like a tide across the world, and he resolved to master it. North he went, to the shores of the great lake, to join one of the earliest schools of machine learning and data science, at Northwestern University.

Then to the forge, where he made his learning into tools. In Washington he shaped the roads that carried the records of soldiers and the sick from system to system, and built a guard against poisoned chips for the Navy. For the great houses of insurance he forged machine-taught dispatchers that sent each mender to the right door, and he bound fourteen firms to one road for the largest contract his company had known. By night he built machines of his own, three on a single frame.

Westward then to Berkeley, to the hills above the bay, to learn the language of capital. He had spent a decade as a maker of things, and now he set out to learn how the other side of the table thinks: those who decide which makers get to build at all. At Haas he led the Venture Capital Club and served as an investment principal for a student-run fund, placing real money on real companies before his schooling was done.

He arrived as a new power woke in the world. Machines learned to speak, to see and to reason, and a fever swept the hills, the same hills that had drawn prospectors with picks and pans nearly two centuries before. Every week new banners rose: models that wrote, chips that thought, robots that walked. Fortunes were staked in a season and lost in a season. He stood at the heart of it, close enough to tell which claims held real ore and which held only glitter.

On Capital Ridge, the high ground of those hills, he spent three years in the work of capital. At Autotech Ventures he met founders at the earliest gate, when they had little more than a prototype and a promise. He weighed thirty-five young companies in mobility and robotics, carried eighteen through full diligence, and joined a venture studio’s founding team to test a new kind of repair for connected vehicles.

His deepest work came at GroundForce over two full years, where he helped build the firm’s technology practice from the ground up. He wrote its thesis on supply-chain intelligence and built an engine that searched more than nine hundred sources and surfaced five hundred qualified companies. He carried seven deals to the investment committee, two of them to exclusive letters of intent, and modeled the returns, cap tables and terms behind them. As the firm’s in-house CIO, he sat with the leaders of six portfolio companies, shaped their technology roadmaps alongside them, and cut what they spent on technology by more than a sixth.

Then he went to AIC, at the frontier where science is still becoming product. There he weighed more than a hundred AI companies, among them chips built on reversible computing, enclaves that keep data secret even while it is in use, models of the physical world, and intelligence small enough to live on a device. He helped close three investments.

Hundreds of companies of the new age passed before him in those years. What he carried down from the ridge was a translation. He learned to hear a founder’s architecture and speak it back as risk and return, and to hear a board’s question and turn it into a roadmap. He saw the same handful of choices decide the fate of company after company: what to build first, what to leave unbuilt, when to sell, and to whom. All the while he built engines of his own to find companies, weigh them and serve those already chosen, a maker’s work even in the house of capital.

And when those years were done, he went back to the forge, and he went by choice. Nearly a thousand AI companies had passed before him. He had watched their founders ride out the storm of the new age, building the ship while already at sea, and he had learned which choices kept them afloat and which sank them. Now he carried a maker’s hands and an investor’s eye, the reckoning of capital, and the speed and rigor of the western hills, and he meant to put all of it to work: to lead teams, shape products from the first sketch, and see them through to the market. The road ran east to Washington, where new work waited and his family too. At the top of the last hill stood a house with its lamp already lit.