Roque Lopez is a research engineer based in New York with 12 years of experience applying machine learning and NLP to real-world problems. With an MSc in Computer Science from USP, he has driven projects from academic research at Inria and NILC to product-focused work as Chief Architect of Doctor CV and a current NYU role building AutoML systems that design end-to-end pipelines using deep and reinforcement learning. He blends hands-on engineering (Python, Spark, HBase) with semantic knowledge extraction, information retrieval and production-grade NLP for resumes and patents. Notably, he has repeatedly transitioned research prototypes into practical tools—such as a CV optimization startup—and often combines symbolic knowledge and ontologies with modern ML to tackle language understanding challenges.
12 years of coding experience
6 years of employment as a software developer
MSc, Computer Science, MSc, Computer Science at USP - Universidade de São Paulo
BSc, Computer Science, BSc, Computer Science at Universidad Nacional de San Agustin de Arequipa
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