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Sergio Triana Escobedo
Software Developer Engineer at GSoft Innovation
Santa Clara, Cuba
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
196.4
CodersRank Rank
Top 4%
Based on:
4 eventsTop 100
JSON
Developer
Cuba
Top 100
JavaScript
Developer
Cuba
Top 50
PHP
Developer
Cuba
Highest experience points: 0 points,
0 activities in the last year
JavaScript
18.6
exp.
PHP
12.6
exp.
CSS
12.3
exp.
C#
62.6
exp.
Vue
2.9
exp.
HTML
2.7
exp.
HTML+Razor
2.1
exp.
Batchfile
8.2
exp.
Java
21.8
exp.
Blazor
5.9
exp.
Go
5.4
exp.
C++
3.7
exp.
List your work history, including any contracts or internships
GSoft Innovation
Apr 2021 - Present (3 years 7 months)
Software Developer Engineer
NTSprint
Jun 2020 - Feb 2021 (8 months)
Software Developer Engineer
Daxslab
Dec 2019 - Mar 2020 (3 months)
Frontend Web Developer
Plexsys is the name of the website that gives identity to the Mexican software development company that bears the same name, focused on the development of all types of applications for all types of devices.
-Tasks:
--Complete design of the website.
--Conceptualization and Architecture
-Technological environment: PHP, Yii2 Framework, Bootstrap 4, JavaScript, GitLab
-Tasks:
--Complete design of the website.
--Conceptualization and Architecture
-Technological environment: PHP, Yii2 Framework, Bootstrap 4, JavaScript, GitLab
Add some compelling projects here to demonstrate your experience
Tool for processing genetic sequences in Linux-based CUDA library (CUBioTools v 1.0)
Jul 2014 - Oct 2014
The work is a graphical tool that facilitates the processing of genetic sequences through a simple graphical interface. Among others, allows to estimate mutation rates in genetic sequences sites using the evolutionary model TN93, and methods of maximum likelihood and Bayesian, for possible ancestral sequences (ASR) that gave rise to a group of sequences observed today , based on mutation rates estimated in advance and simulate the evolutionary process of viral populations using the technique of Markov Chain Monte Carlo (MCMC), considering the influence or absence of the immune system.
This section lets you add any degrees or diplomas you have earned.
Universidad Central "Marta Abreu" de Las Villas
Bachelor's degree, Computer Science
Dec 2012 - Dec 2017
Polytechnic School of Informatics
Informatic
Dec 2007 - Dec 2009