About

Professional introduction and public links for Igor Kuvychko.

I build decision systems for semiconductor manufacturing and other complex industrial environments — work that sits at the intersection of mathematical modeling, optimization, simulation, and software engineering. This site is where I publish the parts of that work that are public-safe and worth a durable, readable home: technical essays, mathematical notes, papers and their supporting information, interactive educational artifacts, public projects, and selected 3D-printed designs.

I care about explanations that are correct, calm, and self-contained. Many of the interactive pages here are designed to work offline and to remain archivable, so that an idea stays accessible long after the link that pointed you to it.

Background

I am a principal data scientist who builds decision systems — optimization, scheduling, simulation, and machine learning — for semiconductor manufacturing. What’s unusual about that work is the path to it: I spent roughly a decade inside the industry I now model. At Intel’s lead development site in Hillsboro, Oregon — where new process technologies are developed and ramped to high-volume manufacturing — I worked as a process engineer on ALD/CVD deposition tools, then as an analytical and environmental engineer, founding and scaling a testing program that was later proliferated across manufacturing sites. That time on the factory floor — with its queues, tool availability, recipes, setups, holds, and operational policies — is the domain knowledge that makes the fab schedulers and simulators I build today correspond to how a factory actually behaves.

Before semiconductors I was a research chemist: a PhD and years of laboratory work in fullerene and fluoroorganic chemistry, with 49 peer-reviewed journal articles, plus book chapters and patents to show for it. I left the laboratory in 2013; the habits of careful measurement and mechanistic explanation came along.

Elsewhere

What you’ll find here

  • Writing — essays and polished technical notes.
  • Papers — formal publications, preprints, and supporting resources.
  • Interactive — educational HTML artifacts and visual explainers.
  • Projects — selected public projects.
  • 3D Printing — 3D-printed mathematical objects and practical designs.

This site is a curated hub, not a complete archive or a social feed. If you’re looking for something you can’t find here, the GitHub profile is the best next stop.