I'm a machine learning researcher and a systems builder, not just an AI consultant. I earned my PhD in Computer Science at Cornell, defending in July 2026 with the degree conferred that August, and I did research at Adobe, IBM, AMD, and LinkedIn along the way. I'm a named inventor on AMD's patent application on accelerating physics-based simulations with AI. But what I actually do is build things that work.

Most people in AI either give you high-level advice or write code without understanding your business. I sit in the middle. I can whiteboard your system architecture, write the code myself, deploy it to production, and explain to your investors why it matters. Since October 2025 I've been doing exactly that as founding engineer at ArcScore AI: I architected and built the platform end to end, designed the core scoring and valuation methodology with two other modeling leads, and I own significant portions of the application, data, infrastructure, and roadmap.

The thread running through my work is ML applied to the economics of expensive, constrained resources: forecasting a nine-figure hardware allocation at LinkedIn, accelerating physics-based simulations at AMD, pricing athlete value at ArcScore. If your hard problem lives where models meet infrastructure, that's my lane.

I take on consulting, fractional technical leadership, and selective founding work through this site. I'm also open to the right full-time research or senior engineering role; my resumes and full CV are on dariannwankwo.com.