Summary
Arash Parnia is a Senior Staff Software Engineer and machine learning leader with a decade of experience building end-to-end AI and big data systems across entertainment, consulting, and research environments. Currently leading ML engineering at Genpact after directing MLOps at Warner Music Group, he blends hands-on model development, data engineering, and production architecture to ship scalable AI services. His work spans LLM-powered copilots, automated NLG pipelines, and Spark-based big data NLP—highlighted by research that automated extraction of mathematical notation for Elsevier. Academically grounded with a Master’s in Artificial Intelligence from the University of Amsterdam and a Data Science certificate from the University of Sydney, he pairs rigorous research with practical deployment skills across cloud platforms like Azure and Databricks. Known for leading cross-functional teams and introducing novel data architectures, he also has a track record of turning previously inaccessible data sources into productive application inputs. Based in Cold Spring, NY, he combines curiosity about new paradigms (including MOJO and graph databases) with pragmatic delivery in high-impact, enterprise settings.
10 years of coding experience
8 years of employment as a software developer
California State University, Sacramento
The University of Sydney
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at University of Amsterdam
Associate of Science (A.S.) Anthropology, Associate of Science (A.S.) Anthropology at American River College
English, Persian, Dutch