About
Vartia.ai
Vartia is a small engineering practice focused on machine learning systems and software development.
We started Vartia to work on problems that tend to fall between traditional boundaries: where machine learning meets large, long-lived software systems, and where subtle failures can have outsized consequences. Much of our work involves understanding how systems behave under real conditions, rather than how they perform on paper.
Our background is rooted in production software engineering as much as in machine learning. We’ve built and maintained complex systems across mobile, web, and embedded environments, and we approach ML with the same mindset: careful design, attention to failure modes, and skepticism of overly abstract metrics.
Team
Brian Williams
Brian is a machine learning engineer and software developer with more than two decades of experience building real-world systems.
He previously worked as a Machine Learning Engineer at Apple. Earlier in his career, Brian worked as a senior software engineer and architect across a range of domains, including mobile platforms, computer vision, developer tools, and user-facing products. That background informs the current work at Vartia, which treats machine learning as one component of a broader engineering system, not an isolated artifact.
Albert Papp
Albert L. Papp III, Ph.D. Albert L. Papp III, Ph.D., is a software architect and product designer with 25+ years spanning enterprise networking, VoIP, medical devices, and consumer software. He has shipped products, led small engineering teams (including as Director of Software), and earned multiple patents for user-centric solutions to complex technical problems. At Vartia.ai, he focuses on LLM-first spec-to-code workflows and AI-assisted engineering practices that improve delivery speed while preserving code quality, security, and reliability.
If you’re interested in discussing this work, collaborating, or applying similar ideas to practical systems, feel free to get in touch. Email brian@vartia.ai or book a free 30 minute consulting call: