Carlos Paniagua

Carlos Paniagua

About

Detail

CTO and Co-Founder
Estonia

Timeline

work
Job
school
Education

Résumé

Jobs verified_user 0% verified
  • Glia
    CTO & Co-Founder
    Glia
    Jun 2012 - Current (14 years 4 months)
    Glia creates digital-first moments that simplify and transform communications between businesses and their customers. Fortune 500 companies that have high-consideration sales and support experiences need to deliver choice, continuity, and speed to their customers. That is something we do better than anyone else. We know that digital-transformation is not easy for large organizations. That is why our digital communications platform is modular in its design and built to deliver value at each step of the journey. We do not believe in ripping out legacy systems - we believe in agile solutions that can truly transform the customer experience. Glia transcends the channel discussion to focus on what matters - customers. Join the journey.
  • University of Tartu
    Junior Researcher
    University of Tartu
    Nov 2010 - May 2012 (1 year 7 months)
    Conducted extensive research in the mobile cloud computing domain, data mining, context awareness and sensor data. Developed several applications and frameworks to conduct proofs of concept.
  • A
    Software Development Specialist
    ACS a Xerox Company
    Jan 2009 - Jul 2010 (1 year 7 months)
    Worked doing web development in Document Management for insurance companies in US. Lead a team of five developers across locations including US, Mexico and the Dominican Republic. Communicated on a regular basis with the client leadership both in Guatemala as well as abroad.
  • I
    Training Manager
    IT Education Centre of Excellence India
    Jun 2007 - Dec 2008 (1 year 7 months)
    Held a leadership position as a Training Manager in a joint collaboration project between Guatemala and India that was focused on teaching professional courses in IT management.
  • Universidad de San Carlos de Guatemala
    General Secretary
    Universidad de San Carlos de Guatemala
    Sep 2006 - Sep 2007 (1 year 1 month)
    Planned, organized and managed both the 7th Congress for Information Technologies & Computer Sciences as well as the 1st Student Art & Technology Exhibition.
Education verified_user 0% verified
  • University of Tartu
    Master, Computer Software Engineering - Embedded Real-Time Systems
    University of Tartu
    Jan 2010 - Jan 2012 (2 years 1 month)
  • TalTech Tallinn University of Technology
    Master's degree, Computer Software Engineering
    TalTech Tallinn University of Technology
    Jan 2010 - Jan 2012 (2 years 1 month)
  • Universidad de San Carlos de Guatemala
    BS, Computer Sciences and Engineering
    Universidad de San Carlos de Guatemala
    Jan 2004 - Jan 2008 (4 years 1 month)
Publications verified_user 0% verified
  • S
    Social Group Formation with Mobile Cloud Services
    Service Oriented Computing and Applications Journal Dec
    Social networks have become quite popular these days, and the creation of social groups of people with common interests results in sharing and collaborative relationships between the members. Besides, cloud computing and mobile computing domains have advanced rapidly and are the promising technologies for the near future. Mobile technologies are recently drawing their attention to the cloud computing due to the increasing demand of the applications for processing power, storage space and energy. To bring the benefits from these different developments together, we tried to build an Android application, CroudSTag, which aids in forming social groups of common interest, from the mobile devices. The application obtains a set of pictures/videos
  • T
    Mobile Sensor Data Classification for Human Activity Recognition using MapReduce on Cloud
    The th International Conference on Mobile Web Information Systems MobiWIS Procedia Computer Science Aug
    Mobiles are equipped with different sensors like accelerometer, magnetic field, and air pressure meter, which help in the process of extracting context of the user like location, situation etc. However, processing the extracted sensor data is generally a resource intensive task, which can be offloaded to the public cloud from mobiles. This paper specifically targets at extracting useful information from the accelerometer sensor data. The paper proposes the utilization of parallel computing using MapReduce on the cloud for training and recognizing human activities based on classifiers that can easily scale in performance and accuracy. The sensor data is extracted from the mobile, offloaded to the cloud and processed using three different classi
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