Erick Hernandez Gutierrez

Erick Hernandez Gutierrez Email and Phone Number

PhD Candidate in Informatics | Full Stack Software Developer @ Vanguard Vision Ai
Erick Hernandez Gutierrez's Location
Sherbrooke, Quebec, Canada, Canada
About Erick Hernandez Gutierrez

Erick Hernandez Gutierrez is a PhD Candidate in Informatics | Full Stack Software Developer at Vanguard Vision Ai.

Erick Hernandez Gutierrez's Current Company Details
Vanguard Vision Ai

Vanguard Vision Ai

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PhD Candidate in Informatics | Full Stack Software Developer
Erick Hernandez Gutierrez Work Experience Details
  • Vanguard Vision Ai
    Software Developer
    Vanguard Vision Ai May 2024 - Present
    Medellín, Antioquia, Colombia
    Developed a cross-platform mobile and web application using React Native with Expo SDK and Javascript. Implemented authentication with selfie and email using Amazon AWS Image Recognition. Built responsive and intuitive UI ensuring consistent user interface across different platforms with intuitive navigation. Managed Android and iOS mobile emulators for testing and debugging. Integrated proprietary and third party APIs with secure communication to handle authentication, data validation and user registration. Launched applications on Play Store and App Store, and deployed Web version with AWS hosting services. Monitored app to continuously improve stability and incorporate feedback from testers and users. Applied DRY principles of software development. Maintained and versioned code using Github.
  • Banco De México In Partnership With Cimat
    Image Specialist
    Banco De México In Partnership With Cimat Aug 2021 - Dec 2021
    Guanajuato, Guanajuato, Mexico
    Digital analysis of bills in circulation.
  • Université De Sherbrooke
    Remote Research Internship
    Université De Sherbrooke Sep 2020 - Dec 2020
    Sherbrooke, Quebec, Canada
    In this work, a novel multi-shell modelling method is proposed to compute fascicle-based fractional anisotropy (FA) that is shown accurate and robust in the centrum semiovale of human brain clinical multi-shell datasets. It does not require tractography and it is informed by the local modelling estimations provided by the method called MRDS. The effectiveness of our methodology is also shown on synthetic experiments.
  • Cimat
    Teaching Assistant
    Cimat Aug 2015 - Dec 2020
    Guanajuato, Guanajuato, Mexico
    Facilitating laboratory exercises, conducting assistantship classes, and providing support in reviewing homework, exams, and final projects.
  • Università Degli Studi Di Verona
    Research Internship
    Università Degli Studi Di Verona Jul 2019 - Dec 2019
    Verona, Veneto, Italy
  • Università Degli Studi Di Verona
    Research Internship
    Università Degli Studi Di Verona Apr 2018 - Jun 2018
    Verona, Veneto, Italy
    Brain tractography allows estimating in vivo long-range connections between groups of neurons. However, it is well known there is a huge amount of false-positive connections in the estimators that are represented as 3D streamlines. The COMMIT framework allows reducing those false positives, however the required computational time may become very long due to the, usually, huge number of streamlines per brain-volume, and the need to process thousands of brain images to increase the statistical power of current medical studies. In this work, we provide a programming model to parallelize the COMMIT framework on the CUDA language framework. Our results demonstrate that it is possible to reduce the computational burden by one order of magnitude by using this proposal.
  • Universidad De Guanajuato
    Android Developer
    Universidad De Guanajuato Aug 2017 - Jun 2018
    Guanajuato, Guanajuato, Mexico
    Application that shows current university cultural events using Instagram-like stories. Development was made in Java and XML. Administrators were able to upload the stories using a Dropbox-like web page developed in PHP. Server maintains all the information in a SQL database and sends data to the application using Json files. App is maintained on Github.
  • Gamecoder Studios
    Software Developer Internship
    Gamecoder Studios Jan 2017 - Dec 2017
    Guanajuato, Guanajuato, Mexico
    Development of a cubemap blending feature for multi-scene static lightning for the LodeStone virtual reality graphics engine using C++ and OpenGL. The LodeStone engine allows multi-platform development of VR games supporting Windows, MacOS and Linux.

Erick Hernandez Gutierrez Education Details

Frequently Asked Questions about Erick Hernandez Gutierrez

What company does Erick Hernandez Gutierrez work for?

Erick Hernandez Gutierrez works for Vanguard Vision Ai

What is Erick Hernandez Gutierrez's role at the current company?

Erick Hernandez Gutierrez's current role is PhD Candidate in Informatics | Full Stack Software Developer.

What schools did Erick Hernandez Gutierrez attend?

Erick Hernandez Gutierrez attended Université De Sherbrooke, Center Of Research In Mathematics A.c. (Cimat), Universidad De Guanajuato.

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