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Anny Figueira
Porto Alegre, Brazil
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.
530.8
CodersRank Rank
Top 2%
Highest experience points: 0 points,
0 activities in the last year
JavaScript
165.4
exp.
JSON
143.7
exp.
HTML
15.4
exp.
CSS
40.4
exp.
Java
6.7
exp.
SCSS
9.5
exp.
C#
16.4
exp.
TypeScript
91.2
exp.
List your work history, including any contracts or internships
AE Studio
Apr 2021 - May 2021 (1 month)
Senior Software Engineer
Awesome agency increase projects
DX.CO
Nov 2019 - Apr 2021 (1 year 5 months)
Frontend Developer
Food Service Platform
Real Networking Full-time
Feb 2019 - Aug 2019 (6 months)
Full-stack Developer
Add some compelling projects here to demonstrate your experience
n3phele
Dec 2013 - Apr 2014
n3phele is a cloud based environment for analysis of bioinformatic data, being developed at the University of Colorado Boulder Knight Lab. The goal is to exploit unique capabilities of cloud computing to create an environment that:
Allows researchers to perform data analysis without requiring any software download or software setup on their computer.
Enable on-demand access to scalable analysis pipelines to faciliate simple, rapid processing of large data sets
Help researchers keep track of data analysis and formulate their own repeatible protcols without having to learn scripting or workflow tools
Enable developers of bioinformatic software to independently share implementations into the community without requiring them to code in a particular langage or environment, or to integrate their software into a preexisting platform.
Allows researchers to perform data analysis without requiring any software download or software setup on their computer.
Enable on-demand access to scalable analysis pipelines to faciliate simple, rapid processing of large data sets
Help researchers keep track of data analysis and formulate their own repeatible protcols without having to learn scripting or workflow tools
Enable developers of bioinformatic software to independently share implementations into the community without requiring them to code in a particular langage or environment, or to integrate their software into a preexisting platform.
This section lets you add any degrees or diplomas you have earned.
Pontifícia Universidade Católica do Rio Grande do Sul / PUCRS
Baracharel, Ciência da Computação
Jan 2015 - Jan 2018