Rubén Gaspar-marco is a machine learning engineer and mathematician with eight years of experience building AI-driven systems and automation. He has moved research innovations into production workflows, from designing fault-tolerant large-scale data pipelines and multimodal biometrics analysis to integrating speech recognition with LLMs for audio-text insights. At M47 Labs he automated regression testing for a globally used AI voice assistant, embedding LLMs into test flows and cutting regression effort by 18%. He collaborates across time zones and disciplines, bringing rapid learning and a curiosity for how complex systems fail and recover. Now at Multiverse Computing, he combines rigorous research habits with practical engineering to tackle scalable ML problems. Notably, his background blends published academic work (including first-author papers) with hands-on product impact in conversational AI and security-focused reinforcement learning.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE Computer Science (AI Specialization), Bachelor of Engineering - BE Computer Science (AI Specialization) at Universidad de Murcia
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
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reactscienceresearch-outputselectivefinding
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Rubén Gaspar-marco - Machine Learning Engineer at Multiverse Computing