Project Portfolio - Physical science x digital design

This technical report presents a system that performs full-parameter LLM training across geo-distributed GPU clusters during regional curtailment windows, elastically switching between local single-site training and federated multi-site synchronization as sites become available or unavailable.

I built a new custom subscribe page for my favorite climate tech newsletter, Keep Cool, using Next.js + Tailwind.

I completed a techno-economic analysis (TEA) for a proposed company called "Nth Power," a distributed GPU cloud provider and Virtual Power Plant (VPP) operator for grid operators, utilities, and clean energy companies.

I completed a techno-economic analysis (TEA) for a proposed company called "Aether Thermal," who uses the waste heat from data centers to charge low-temperature thermal batteries for distribution to consumers in local communities.

Deep tech ventures, characterized by cutting-edge scientific and technological innovations, can face unique hurdles when it comes to customer acquisition.

I completed a robust technical scoping of processes and technologies to enable sustainable data centers, identifying key constraints and proposing novel solutions.

I completed a robust technical scoping of critical material extraction processes and constraints, focusing on sustainable solutions to shore up key supply chains.

In this rapidly advancing world of automation and AI, my goal with this project was to ensure that my own processes and workflows could scale at the same rate as the technology around me.

With that as my north star, I built 20+ workflow automations using widely available low-code tooling, all tailored towards the modern deep tech entrepreneur.

Our digital personas are quietly becoming more visible and consequential than our physical selves. This fundamental change offers an unprecedented opportunity to reshape the ways we assign value as a global community.

What if our ability to buy clothes, cars, houses, and other status symbols was purely determined by our measurable good deeds and community service? That's what your Counterparts avatar represents.

There is an estimated 16 trillion dollar global funding gap for scientific research.

inTheory Research presents an alternative method for science funding. By leveraging community inertia, amplified by the latest in web3 and generative AI technology, inTheory allows users to own a piece of the fundamental research they believe in by simply collecting project-inspired artworks.

The completion of this project, which was conducted over two summers as a researcher at Lawrence Livermore National Laboratory, marked the completion of my MS in Materials Science from UCLA.