Nicholas Borg is a software engineer with nine years of experience building production systems across ML, full-stack web, and crypto risk infrastructure, currently at Ellipsis Labs after a staff-engineer role at Gauntlet. He has optimized large-scale simulations and smart-contract tooling—making key systems 1000x faster and cutting six-figure annual compute costs—while also developing monitoring, trading, and portfolio stacks for multi-million-dollar protocols. Earlier roles span building terascale AWS data lakes and Spark feature pipelines for cybersecurity, novel NLP and clustering for civic web apps, and advanced neuroimaging ML research at Stanford where he created real-time fMRI tooling and projection techniques. Comfortable across Python, TypeScript, Solidity, Docker/Kubeflow and end-to-end product cycles, he moves fluidly between research-grade pipelines and production deployments. Based in New York with an MS in Symbolic Systems from Stanford, he’s open to translating academic data-science and neuroscience ML experience into industry problems that blend modeling, systems, and product impact. An understated strength is his history of inventing practical abstractions and tooling that get reused across teams, not just one-off proofs of concept.
9 years of coding experience
8 years of employment as a software developer
MS Symbolic Systems (CS + Neuro) BA Philosophy, MS Symbolic Systems (CS + Neuro) BA Philosophy at Stanford University
Contributions:25 commits, 23 pushes, 3 branches in 8 months
real-timecomputer-visionmrifmri
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Nicholas Borg - Software Engineer at Ellipsis Labs