Working history
Working history
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Current roles:
Full Time Professor and Researcher, 2021 - to current. – Universidad Iberoamericana (Ibero), Ciudad de México, México.
In my current role, I am actively engaged in research and development of novel Machine Learning methodologies with a focus on cybersecurity, specifically the application of Natural Language Processing techniques. I am spearheading a project from 2021 to 2023 aimed at detecting phishing attacks in electronic messages (including chat messages, blog messages, and emails) through the use of multimodal data representation. My research has resulted in the publication of several papers in high-impact factor JCR journals. Additionally, I have successfully secured external funding for the projects I have directed. I have also served as an advisor, participated as a synodal, and evaluated numerous graduate theses within my research areas. Throughout these years, I have taught a variety of undergraduate and graduate courses including Fundamentals of Algorithms and Programming (undergraduate), Data Science (undergraduate), Cyber Attacks (graduate), and Cybersecurity (graduate). Furthermore, I contributed to the development of curricula for both a bachelor’s and a master’s degree in Data Science. I have organized several Data Science bootcamps and serve as an organizer for CSAW in Mexico. Additionally, I continue to support the Master of Science in Security Technologies at INAOE and the Master of Science in Information Technologies at the Instituto Tecnológico Superior de México.
Partial Time Professor and Researcher, 2021 - to current. – Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Puebla, México.
As a part-time faculty member in the Master of Science in Security Technologies program, I teach courses such as Cyber Attacks 1 and 2, Mobile Device Security, among others. I focus on providing students with a solid understanding of cyber threats and defense methodologies, combining theory with hands-on experience. Additionally, I have mentored several master's theses, guiding students on research related to cybersecurity and security technologies. Despite my part-time role, I remain dedicated to enhancing the curriculum and supporting students' academic and professional growth.
Project-Based Experience:
Artificial Intelligence consultor, 2022-2025 (Relativity6, Ginnicy: a Relativity6 Company – México).
In my role as an Artificial Intelligence Consultant at Relativity6 and Ginnicy, I have contributed to the development of advanced AI solutions aimed at enhancing business decision-making, process automation, and real-time predictive analytics. My work has focused on creating and optimizing machine learning algorithms to address key challenges in various sectors. Notable projects include the development of an AI-powered company classification tool using NAICS codes, the design of a cybersecurity chatbot integrated with automated vulnerability analysis, and the creation of a risk evaluation system using large language models (LLMs) to process public data for predictive insights. Throughout these projects, I have applied cutting-edge AI techniques to provide practical, client-focused solutions that drive the company’s technological innovation and business growth.
Previous Employment:
Researcher, 2017 – 2021. – Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Puebla, México.
During my tenure, I conducted research and developed innovative Machine Learning methodologies for the analysis of data streams. These methods were specifically designed for implementation on reconfigurable hardware architectures. Presently, my research focus is on the development of new Data Mining techniques for cybersecurity applications. Throughout these years, I have published numerous papers in JCR journals and presented my work at various scientific conferences.
Lecturer, 2017 – 2021. – Universidad del Valle de Puebla (UVP), Puebla, México – Universidad de Las Américas (UDLAP), Puebla, México - Universidad Del Valle de México (UVM), Puebla, México - Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Puebla, México - Universidad Iberoamericana (Ibero), Puebla, México - Instituto Politécnico Superior de Huauchinango, Puebla, México - Centro de Investigación e Innovación en Tecnologías de la Información y Comunicación (INFOTEC), Aguascalientes, México.
I have served as a lecturer for numerous undergraduate and master’s degree courses. My involvement has encompassed all aspects of the teaching process, including instruction, lesson preparation, participation in scientific seminars, thesis advising, and curriculum development and review. Currently, I hold the position of full-time research professor at the Iberoamerican University.
Attached Researcher, 2013 – 2017. – Centro de Aplicaciones de Tecnologías de Avanzada (CENATAV) , La Habana, Cuba, PhD. Student. - Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) , Puebla, México,
My research efforts were concentrated on the development of new parallel algorithms for the discovery of frequent itemsets in data streams. These algorithms were specifically designed for implementation and execution on reconfigurable hardware devices. This research resulted in the publication of several papers in national and international conferences and impact journals. As a doctoral student, my thesis was awarded Second Prize for Best Doctoral Thesis by the Mexican Society of Artificial Intelligence in 2017.
Researcher and Project Team Leader, 2010 – 2013. - Centro de Aplicaciones de Tecnologías de Avanzada (CENATAV), La Habana, Cuba.
I directed a development team consisting of 5 engineers and 2 Ph.D. scientists, whose focus was on the analysis, design, and implementation of applications for chemical data analysis utilizing Pattern Recognition techniques. During this time, I developed novel parallel algorithms for the classification of large volumes of data using reconfigurable hardware. Our work was documented in several papers published in national and international conferences, as well as a book chapter resulting from our research.
Software Engineer, Senior Software Engineer and Researcher, 2006 – 2010. - Centro de Aplicaciones de Tecnologías de avanzada (CENATAV), La Habana, Cuba - Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Puebla, México.
I implemented image processing algorithms utilizing Gabor and FFT filters. Additionally, I designed and developed a system of chemometric tools for the analysis of data. As a researcher, my focus was on data classification, and in this regard, I developed a hardware-software architecture to expedite the SVM training phase for large data volumes. This project was undertaken as part of my Master’s of Science degree. The results of my research were published in several articles in international journals and conferences.
Software Developer – College Lecturer, 2004 - 2006. - Centro de Aplicaciones de Tecnologías de Avanzada (CENATAV), La Habana, Cuba - Instituto Superior Politécnico “José Antonio Echevarría” (CUAJE), La Habana, Cuba - Universidad de las Ciencias Informáticas (UCI), La Habana, Cuba.
As a software developer, I was responsible for evaluating and testing software for both new and legacy systems. I developed applications using the C# language in n-layer architectures and web services to ensure compatibility between legacy database systems. Additionally, I implemented Data Mining and Pattern Recognition algorithms for image management. I worked closely with clients to determine their system requirements and design software to meet their needs. I also participated in the integration of native and C# libraries for communication with fingerprint scanners. As a lecturer, I taught courses at the Instituto Superior Politécnico “José Antonio Echevarría” and “Universidad de las Ciencias Informáticas” in Havana, Cuba.
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