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Fernando Vega | Gravity Talent Portal

Fernando Vega

Fernando Vega

Frontend Developer

https://talent.gravityer.com/fernando-vega

BarcelonaMember since June 29, 2026

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

https://talent.gravityer.com/fernando-vega

Top Skills

JavaScriptCSSHTML

Skills

JavaScriptCSSHTML

Projects

vega_music

August 13, 2025 – August 13, 2025

These is my personal page as dj & producer

reactvision

July 16, 2025 – July 16, 2025

computer vision with react

action-with-fingers

July 1, 2025 – July 2, 2025

the objective of these project is explorer the computer vision

react_js_course_hola_mundo

December 5, 2022 – January 17, 2023

react_js_course_hola_mundo — GitHub repository

fake_e-commerce

September 20, 2022 – January 10, 2025

Fake e-commerce made with Vanilla Js and MVC design

katas_js

June 14, 2022 – June 14, 2022

katas_js — GitHub repository

list_products_localStorage

April 15, 2022 – October 6, 2022

CRUD using localStorage

ejs_template

December 21, 2021 – December 21, 2021

web site dynamic with express.js and engine template ejs

stackblitz-react

November 16, 2021 – November 16, 2021

Created with StackBlitz ⚡️

my_web

November 15, 2021 – December 21, 2021

my_web — GitHub repository

Key Strengths

Demonstrated interest in Frontend Development through personal projects.
Experience with core web technologies: JavaScript, CSS, HTML.
Familiarity with React.js, as indicated by project names.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are all personal, indicating self-motivation and a passion for learning. The diversity of projects (music page, computer vision, e-commerce, CRUD) suggests a broad interest in web development applications. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, and no other information is provided.