Humberto Sandmann
Computer scientist specializing in bio-inspired neural computing, computational complexity and dynamics, pattern recognition, small-world theory, and banking knowledge. With a focus on understanding the foundations of human computation, I investigate biological neuronal approaches to replicate processing behaviors in computational intelligence.
In the realm of programming, I bring a strong background in highly complex domains, including modeling, software architecture, artificial intelligence, machine learning, deep learning, computer vision, cryptography, and high-performance computing, among others.
Research Interests
Computational for large-scale systems
Machine learning and artificial neural networks
Nonlinear systems and dynamics networks
Synchronization of coupled oscillators
Background
Lectures
now ↑ jun.2018 | Insper Sao Paulo, Brazil
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now ↑ jun.2014 | ESPM Sao Paulo, Brazil Associate Professor
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apr.2015 ↑ mar.2015 | Toledo Prudente Centro Universitário Presidente Prudente, Brazil Visiting Professor
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dec.2015 ↑ mar.2012 | FIAP Sao Paulo, Brazil Associate Professor
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jul.2013 ↑ mar.2012 | Universidade Cruzeiro do Sul Sao Paulo, Brazil Associate Professor
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jul.2011 ↑ mar.2011 | Universidade Nove de Julho Sao Paulo, Brazil Temporary Professor
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jul.2011 ↑ mar.2008 | Polytechnic School of the University of Sao Paulo Sao Paulo, Brazil Teaching Assistant
† grants from FAPESP |
Experiences
jun.2019 ↑ may.2018 | RockSpoon Sao Paulo Area, Brazil - Palo Alto, United States Senior Software Architect and Machine Learning Engineer | POS, ERP, Payroll, JavaEE, Postgres, Software Architecture, OpenCV, Machine Learning, Computer Vision, GoLang, Android, Kotlin. |
jul.2016 ↑ oct.2015 | Banco Votorantim Sao Paulo Area, Brazil Contractor: Senior Consultant for Computational Optimization | RoE, Banking Business, High-Performance Computing, J2EE, Spring Boot, Automating Testing, Jenkins. |
oct.2023 ↑ mar.2012 | SelsanTech Sao Paulo Area, Brazil Co-Founder | Machine Learning, Software Architecture. |
nov.2011 ↑ aug.2011 | TecBan Sao Paulo Area, Brazil Contractor: Senior Consultant for Computational Optimization | ATM, J2EE, InMemory Database, High-Performance Computing. |
jun.2007 ↑ feb.2006 | ABN Amro Bank Sao Paulo, Brazil Contractor: Senior Software Engineer/Architect | Stock Market, Trading, Core Banking, Software Architecture, Cryptography, HSM, BouncyCastle, PKI, PCKS, Java, Servlet, Database. |
mar.2025 ↑ feb.2006 | H-Sandmann Sao Paulo Area, Brazil Founder | Machine Learning, Software Architecture. |
jan.2006 ↑ aug.2005 | Politec Sao Paulo, Brazil Senior System Analyst | J2EE, Software Quality, Software Architecture, Banking Business. |
jul.2005 ↑ jul.2004 | EverSystems Sao Paulo, Brazil Senior Software Engineer/Architect - BankBoston - CitiBank - Elly Lilly | PKI, BouncyCastle, Cryptography, HSM, Core Banking, Stock Market, Java, Servlet, Database, Communication Protocol, Syncronization and Replication. |
mar.2003 ↑ sep.2002 | Central Online Sao Paulo, Brazil Senior System Analyst | Object-Oriented Programming, LMS. |
sep.2002 ↑ oct.1999 | Datamace Sao Paulo Area, Brazil Senior System Analyst | Payroll, ERP, Software Architecture. |
oct.1999 ↑ mar.1998 | Heraeus Electro-Nite Sao Paulo Area, Brazil Computer Programmer | Complaince, ERP, PCP. |
Publications
E.Del-Moral-Hernandez; H. Sandmann; G.Araujo; Context dependent pattern recognition - A framework for hybrid architectures bridging chaotic neural networks based on Recursive Processing Elements and symbolic information. IEEE Transactions on Neural Networks, 2009. doi: 10.1109/IJCNN.2009.5179061.
L.A. da Silva; H. Sandmann; E.Del-Moral-Hernandez; A self-organizing architecture of recursive elements for continuous learning. IEEE Transactions on Neural Networks, 2008. doi: 10.1109/IJCNN.2008.4634190.
E.Del-Moral-Hernandez; H. Sandmann; L.A. da Silva; Pattern recovery in networks of recursive processing elements with continuous learning. IEEE Transactions on Neural Networks, 2004. doi: 10.1109/IJCNN.2004.1379877.