Raul Salles De Padua
About Raul Salles De Padua
Raul Salles De Padua serves as the Director of Engineering for A.I. and Quantum Computing at Multiverse Computing. He has extensive experience in data science and engineering, having held various leadership roles in companies such as Quod Analytics and KPMG Brasil, and he is also a visiting professor and course facilitator in artificial intelligence.
Work at Multiverse Computing
Raul Salles De Padua serves as the Director of Engineering for A.I. & Quantum Computing at Multiverse Computing since 2023. In this role, he directs the development of advanced machine learning systems, including a quantum-inspired machine learning privacy data generation system for a European security client. This initiative achieved notable metrics in fidelity, quality, and latency, demonstrating his expertise in integrating quantum computing with artificial intelligence.
Education and Expertise
Raul has a diverse educational background with degrees in engineering and business. He holds a Bachelor of Engineering in Electrical Engineering from Universidade Federal Fluminense and a Master of Engineering in Aeronautical Engineering from Instituto Tecnológico de Aeronáutica. He further enhanced his knowledge with an M.B.A. from IESE Business School and multiple certifications in Artificial Intelligence from Stanford University, including a Graduate Certificate in A.I. and coursework in Big Data and Analytics.
Background in Data Science and Engineering
Raul has extensive experience in data science and engineering, having held key positions at several organizations. He was the Founder, Chief Data Scientist, and Principal Machine Learning Engineer at Quod Analytics, where he worked on machine learning projects for over a year. His previous role as Senior Manager in Deal Advisory & Strategy Analytics at KPMG Brasil further solidified his expertise in analytics and strategy.
Teaching and Mentorship Roles
In addition to his engineering roles, Raul contributes to academia as a Visiting Professor at Sirius Education, focusing on Deep Learning, Computer Vision, Natural Language Processing, and Generative AI. He also serves as a Course Facilitator for professional A.I. courses at Stanford Center for Professional Development and acts as an Alpha & Beta Tester and Mentor for DeepLearning.AI, sharing his knowledge and experience with aspiring professionals in the field.
Contributions to AI in Finance
Raul has made significant contributions to the application of artificial intelligence in the finance sector. He authored a publication titled 'AI @ Finance Domain,' available on arXiv, which discusses the integration of A.I. technologies in financial contexts. His work includes streamlining the implementation of Large Language Models, optimizing productivity in project deliveries, and developing innovative systems for classifying cryptocurrency transactions.