About Me

Liam D. Gray

I'm an engineer who has spent two decades building infrastructure at the intersection of hardware, software, and data. My career has spanned computer vision, blockchain/ZK proofs, natural language processing, full-stack development, and systems automation — but the thread running through all of it is the same: extracting signal from noise and making it verifiable.

I started with a B.S. in Electrical & Computer Engineering from Carnegie Mellon University, graduating with Research Honors. That foundation in signals, systems, and information theory shaped how I think about data integrity and evidence pipelines.

Over the years, I've built CV tracking systems from scratch, designed cryptographic decision protocols, written scrapers that extract structured data from the wildest corners of the web, and created automation pipelines that turn chaos into clean, auditable records. I've worked at the bleeding edge of zero-knowledge proofs and on the front lines of mundane-but-critical data entry and migration.

Today, I focus on remote freelance consulting — helping individuals, startups, and research groups build the data infrastructure they need to make confident decisions. Whether it's a one-off data extraction job, a full custom software project, or an ongoing retainer for technical support and automation, I bring the same rigor and attention to detail.