Imagem de perfil de gasotelo
Bandeira de Colombia Bogotá, Colombia
Membro desde 4 de julho de 2015
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Full Stack Developer with fast learning skills and quality assurance capabilities. Commited to work and with a high sense of responsibility. Capable of solving problems related to: - Process automation through software - Model Driven Development - Mobile Development (iOS: Swift, Objective-C; Android - java) - Web Development (Angular 1 & 2, Bootstrapt, GWT, PHP, HTML+jQuery) - Back End and Tools development (java, python, C#, nodejs) - Algorithmic: I teach undergraduate level courses on algorithmic + Object Oriented Programming 1 + Object Oriented Programming 2 with honors + Discrete maths and logic + Algorithm design
$25 USD/hr
15 comentários
  • 100%Trabalhos concluídos
  • 92%No Orçamento
  • 100%Pontualmente
  • 27%Taxa de Recontratação


Comentários recentes

  • imagem de Anibal Cambio en proyecto de GWT $6400.00 MXN

    “Excelente trabajo.”

  • imagem de Anibal Instalación de software en servidor $100.00 USD

    “Germán es muy puntual, comprometido y formal en sus trabajos y comunicación. Sumamente recomendable!”

  • imagem de Jorge B. Improving billing in iOS app €66.00 EUR

    “the best freelancer [06 November, 2017] great freelancer”

  • imagem de Anibal Project 15335260 has been deleted $10000.00 MXN

    “Muy bueno trabajar con él. Es responsable, puntual y entrega a tiempo y con excelente calidad.”

  • imagem de Jorge B. Project for gasotelo €305.50 EUR

    “He's just great. 100% professionnal and perfect communication. A pleasurr to work with him and high quality work. Impossible to regret to have it as a freelancer”

  • imagem de Marco Crear una aplicación para Android $400.00 USD

    “Excelente freelancer, siempre dispuesto. Muy cordial y con alta capacidad para el desarrollo de aplicaciones móviles. Espero volver a trabajar con Germán.”



Apr 2016 - Oct 2016 (6 months)

Responsible for develop and design an application for food delivery. The app was available on iOS and Android. The back end was deployed on Google Cloud using Python and MySQL.

Solution Architect

Feb 2016 - Apr 2016 (2 months)

Responsible for design and develop an IoT solution for Smart Objects customers.


Jan 2016 - Dec 2016 (11 months)

Lecturer of undergraduate level courses on algorithms and object oriented programming

R&D+i Director

Jan 2015 - Nov 2015 (10 months)

Responsible for leading research projects on Mareigua, a company involved on social security payment process. Mareigua has between 40 and 50 developers. On R&D department we designed and developed a MDD solution for payment information validation. With this solution we speed up the validation process on 100X and improved user response time by 10X. Also, we use a cross validation technique for quality assurance in the whole project.


Aug 2013 - Dec 2014 (1 year)

Lecturer of undergraduate level courses on algorithms and object oriented programming

SEO engineer

Apr 2013 - Jul 2013 (3 months)

Responsible for developing a Deep linking tool for automatic content generation.


Jul 2012 - Jul 2013 (1 year)

StartBull was a startup winner of Start/up Chile, Wayra Colombia and BBVA open talent on financial services category.

Research Assistant

Jan 2011 - Apr 2012 (1 year)

Responsible for assisting research projects on cloud computing and HPC.


Bachelor in Systems and Computing Engineering

2007 - 2011 (4 years)

Master in Systems and Computing Engineering

2011 - 2013 (2 years)


Java SE 6 Professional Programmer (2014)


This certification validates Java SE 5 and SE 6 skills.


Harvesting idle CPU resources for desktop grid computing while limiting slowdown generated to users

The results show that dynamic performance and energy-efficient technologies, specifically overclocking features, directly affect the slowdown generated to the end-user when incorporated into the processor used by the Desktop Grid. We propose, implement, and test a first set of resource allocation policies for the BOINC client in order to effectively harvest idle CPU resources while avoiding to exceed a customizable slowdown limit.

Building Platform as a Service for High Performance Computing over an Opportunistic Cloud Computing

We present a Platform as a Service model constructed over a desktop-based Cloud infrastructure for developing high performance computing applications taking advantage of unused resources opportunistically. We highlight the key concepts and features of the platform, as well as its innovation on an opportunistic computing and we present the results of several tests showing the performance of the proposed model

Green flexible opportunistic computing with task consolidation and virtualization

We present an energy efficient approach for opportunistic infrastructures based on task consolidation and customization of virtual machines. The experimental results with single desktops and complete computer rooms show that virtualization significantly improves the energy efficiency of opportunistic grids compared with dedicated computing systems without disturbing the end-user.

Running MPI Applications over Opportunistic Cloud Infrastructures

This paper analyzes in detail the difficulties and issues that must be faced when running MPI (Message Passing Interface) applications over non-dedicated infrastructures. Alternatives to overcome these issues on a specific opportunistic infrastructure, called UnaCloud, are presented. We designed and implemented a UnaCloud extension to allow automatic recovery of the execution of MPI applications.

Green Flexible Opportunistic Computing with Virtualization

This paper presents an energy efficient approach for opportunistic grids based on virtualization. The experimental results show that virtualization significantly improves the energy efficiency of opportunistic grids compared with dedicated computing systems without disturbing the end-user.

Automatic distribution and configuration of virtual machine images for an opportunistic IaaS

We present a mechanism for automatic distribution and configuration of virtual machines used on local IaaS deployments for HPC


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