Summary
Ruben Martinez is a senior customer data scientist with 11 years of hands-on experience building ML solutions across computer vision, NLP and sequential data, currently helping customers deploy LLM and production AI at H2O.ai. He previously developed state-of-the-art video quality assessment and large-scale telemetry pipelines at Microsoft, processing billions of data points with PySpark and AzureML to turn product telemetry into actionable business insights. Ruben combines research-grade modeling (PyTorch, feature-extractor pipelines) with pragmatic deployment skills—Power BI reporting, Azure, Docker, Redis and vector DBs like FAISS/PGVector—to shorten iteration cycles and cut experimentation costs. His background in electronics and industrial sensing led to two patents and unusually strong domain knowledge for industrial and mining applications, which he has applied to cross-industry AI work. He mentors emerging data scientists and has built conversational and Text-to-SQL/Text-to-Pandas systems for real customers, reflecting a focus on user-centered, production-ready AI. Based in Sonora, Mexico, Ruben blends academic rigor from UCD with practical systems engineering to deliver measurable business value.
10 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, 90, Bachelor's degree, Electrical and Electronics Engineering, 90 at Instituto Tecnológico de Hermosillo
ME Electronic and Computer Engineering, Electrical, Electronics and Communications Engineering, ME Electronic and Computer Engineering, Electrical, Electronics and Communications Engineering at University College Dublin
English, Spanish