Summary
Arthur Cherba is a Technical Manager and software engineering leader with 11 years of industry experience and a PhD in Computer Science, currently leading speech data pipeline and annotation tooling at Google in New York. He blends deep technical expertise in software architecture, distributed systems and cloud SDKs with hands-on experience across frontend search infrastructure, backend services, and high-performance C++ systems from earlier roles at Google and Bloomberg. Arthur has a strong academic pedigree—published researcher and former professor—who translated research-grade, multithreaded MPI/C++ solutions into production-ready systems and tooling. He excels at guiding cross-functional teams to deliver ML training data platforms and developer tools, drawing on a history of designing scalable SOA and data-heavy architectures. Notably, his background includes building fastest-in-class symbolic computation and scientific tooling, reflecting an unusual combination of theoretical rigor and practical product delivery. Colleagues describe him as a pragmatic technical leader who elevates engineering practices while keeping systems maintainable and performant.
11 years of coding experience
12 years of employment as a software developer
MS Computer Science and Applied Mathematics, MS Computer Science and Applied Mathematics at University at Albany
PhD Computer Science, PhD Computer Science at The University of New Mexico
AS Computer Science, AS Computer Science at Fulton Montgomery Community College