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Didier Augusto Vega Oliveros


Birthplace: Brazil

Experienced researcher and Software Engineer with a demonstrated history in distributed systems, parallel and multi-threading programming (Windows Azure, OpenMP, MPI) and Artificial Intelligence and Machine learning applied to Big Data systems for high-scalability (millions of users). A self-motivated and proactive developer oriented to results who leads and dynamically participates in aspects of the architecture, design, development, implementation, quality, and support during the lifecycle of the software product. Strong research professional with Doctor of Philosophy (Ph.D.) focused in Complex Networks and Machine learning from Universidade de São Paulo / USP. Professional strengths include Scrum, effective communication skills, high motivated by challenges with innovative ability and adaptability to new technologies and the initiative to seek for new approaches to identify efficient solutions. (Source: Lattes Curriculum)

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