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Pablo Miguel Adjetiva is listed as Technology Advisor at xyborg AI, a with 3 employees, based in Spain. AeroLeads shows a matched LinkedIn profile for Pablo Miguel Adjetiva.
Pablo Miguel Adjetiva previously worked as Data Scientist at Meta Ai and Jr. Software Architect at Google. Pablo Miguel Adjetiva holds Uab - Ingeniería Informática (Mención Tecnologías De La Información), Ingeniería De Sistemas De Telecomunicación from Universitat Autònoma De Barcelona.
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Developer and entrepreneur. I am a professional expert in biometric technologies and artificial intelligence. Architect software with more than 7 years of hardcore experience in computer vision and deep learning models for natural language processing (NLP).I stand out in designing and building the software solutions extremely scalable and reliable. A true believer in system scalability and reliability engineering. Extensive experience in heterogenous systems integration with emphasis on security. Experienced at managing customer relations and adapting technical information to different audiences. Hands-on experience in technology transfer.I have been a founding member of Biopaym, Inc. I am the creator of the program called: UDYAT 1.5 A revolutionary face recognition algorithm based on neural networks and artificial intelligence. Probably one of the biometric systems and advanced in the world in recognition of people. Interested in technologies, frameworks and tools for the development of AI conversational. Full of energy, experience and enthusiasm for teamwork. I am currently advising on research and development of "xyborg AI" technology, a general-purpose conversational AI platform
Listed skills include Java, Algorithms, Iris Recognition, Computer Vision, and 41 others.
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Xyborg is a platform conversational AI, that has the necessary tools required to build cognitive agents general purpose. Cognitive agents developed with Xyborg technology, can learn, interact and improve with human interaction. Over time you can fully understand the needs and intentions of users.
In my role as a Data Scientist, I am responsible for developing predictive models and algorithms to extract insights from data, and communicating my findings and recommendations to key stakeholders through reports, presentations, and visualizations. Duties in Meta AI: 1. Collecting, cleaning, and organizing large datasets2. Analyzing and interpreting data using statistical and machine learning techniques3. Developing predictive models and algorithms to extract insights from data4. Communicating findings and recommendations to key stakeholders through reports, presentations, and visualizations
Mountain View, California, Estados Unidos
Machine Learning at Google AI I build Deep Learning models for Natural Language Processing (NLP) and Computer Vision. Work on researches that related to text mining, entity recognition, natural language processing, knowledge representation, semantic reasoning and social linguistic.
Mountain View, California, Estados Unidos
A one-year intensive residency program focused on machine learning and deep learning research. I work alongside research scientists and engineers from various Research teams focused on artificial intelligence research.
As part of the research, development and design team. Research and developing of a complete biometric system, including the capture from the device, image processing, image enhancement, segmentation, and recognition algorithm, comparison between samples, and full implementation of an access control GUI with entries monitoring and user administration. 1. Research and improvement stages of project focused on facial recognition and iris recognition, for biometric digital payments. 2. Design and implementation of management systems for centralized databases of biometric applications. 3. Research on performance and fusion of biometric algorithms, creation of solutions based on facial authentication. 4. Main technologies used: C#, C++, OpenCV, MATLAB, C++, Android, Java, .NET among others.
Barcelona Y Alrededores, España
Development and innovation of Mobile Applications in I+D Department- Development of the new application of iPhone/iPad- Development of applications for iOS- High experience on mobile usability and user interface design- Agile software development methods, Scrum and Kanban- Advance formation on Mobile development
Madrid Y Alrededores, España
Development Java Applications-Development-Java EE, Oracle, MAVEN, Subversion, Javascript, Struts, JSP, JDBC-Application Server Apache Tomcat 5.0
From the idea to device.Mobile Engine is a software company that creates cool apps with smart code. Our software is available on iOS, Blackberry, Android devices, and the Web. With an IT view, we take care about work. Focused on delivering projects on time & budget.Especialidades: Native OS, Apple iOS, Android, SmartTV, HTML5, Node.js, Blackberry 10, Mobile Marketing
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Pablo Miguel Adjetiva works for xyborg AI.
Pablo Miguel Adjetiva is listed as Technology Advisor at xyborg AI.
Pablo Miguel Adjetiva is based in Spain while working with xyborg AI.
Pablo Miguel Adjetiva has worked for Xyborg Ai, Meta Ai, Google, Biopaym, and Softronica.
Pablo Miguel Adjetiva's colleagues at xyborg AI include Wilson Wun.
You can use AeroLeads to view verified contact signals for Pablo Miguel Adjetiva at xyborg AI, including work email, phone, and LinkedIn data when available.
Pablo Miguel Adjetiva holds Uab - Ingeniería Informática (Mención Tecnologías De La Información), Ingeniería De Sistemas De Telecomunicación from Universitat Autònoma De Barcelona.
Pablo Miguel Adjetiva is listed with skills including Java, Algorithms, Iris Recognition, Computer Vision, C++, Biometrics, C#, and Matlab.
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