Roberto Valdez is a Google Cloud AI/ML Engineer with a decade of experience building scalable machine learning and distributed systems, specializing in on-device and edge ML for voice and speech applications. Previously an Applied Scientist at Amazon, he shipped edge‑optimized speech recognition and LLM audio synthesis work for Alexa and engineered large Spark ETL pipelines and multi‑GPU training workflows. He combines rigorous academic training—dual master’s degrees from Columbia and a Fulbright background—with hands‑on product experience delivering NLP personalization at scale and actuarial ML solutions that grew revenue. Bilingual in Spanish and English, Roberto brings a cross-disciplinary perspective that spans research, production ML, and frontend integration, and has a track record of publishing and improving SOTA speech verification in low-annotation settings.
9 years of coding experience
6 years of employment as a software developer
Intensive Introduction to Graduate Study Computer Science, Intensive Introduction to Graduate Study Computer Science at New York University
Master's degree Computer Science, Master's degree Computer Science at Columbia University
Bachelor of Arts (B.A.) Economics Finance and Mathematics, Bachelor of Arts (B.A.) Economics Finance and Mathematics at Universidad San Francisco de Quito
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