Pablo Miguel Adjetiva Email and Phone Number
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
Xyborg Ai
View- Website:
- xyborg-ai.com
- Employees:
- 3
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Technology AdvisorXyborg Ai Jul 2022 - PresentXyborg 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.
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Data ScientistMeta Ai Jan 2021 - May 2022In 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
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Jr. Software ArchitectGoogle Apr 2017 - Dec 2020Mountain View, California, Estados UnidosMachine 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. -
ResidentGoogle Jan 2016 - Mar 2017Mountain View, California, Estados UnidosA 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.
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Co-Founder & CtoBiopaym Apr 2014 - Oct 2015As 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. -
Sr. Software DeveloperSoftronica Aug 2011 - Apr 2014Barcelona Y Alrededores, EspañaDevelopment 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
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Software DeveloperMobilabs S.L. Jan 2010 - Jun 2011Madrid Y Alrededores, EspañaDevelopment Java Applications-Development-Java EE, Oracle, MAVEN, Subversion, Javascript, Struts, JSP, JDBC-Application Server Apache Tomcat 5.0
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Jr. DeveloperFreelance Feb 2008 - Jan 2010From 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
Pablo Miguel Adjetiva Skills
Pablo Miguel Adjetiva Education Details
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Universitat Autònoma De BarcelonaIngeniería De Sistemas De Telecomunicación
Frequently Asked Questions about Pablo Miguel Adjetiva
What company does Pablo Miguel Adjetiva work for?
Pablo Miguel Adjetiva works for Xyborg Ai
What is Pablo Miguel Adjetiva's role at the current company?
Pablo Miguel Adjetiva's current role is AI Engineer | Data Scientist.
What schools did Pablo Miguel Adjetiva attend?
Pablo Miguel Adjetiva attended Universitat Autònoma De Barcelona.
What skills is Pablo Miguel Adjetiva known for?
Pablo Miguel Adjetiva has skills like Java, Algorithms, Iris Recognition, Computer Vision, C++, Biometrics, C#, Matlab, Opencv, Pattern Recognition, Image Processing, Signal Processing.
Who are Pablo Miguel Adjetiva's colleagues?
Pablo Miguel Adjetiva's colleagues are Wilson Wun.
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