Summary

Expertise

Project Highlights

Education

Agency

RB

English:

Upper Intermediate

Rodolfo B.

vetted by Youteam

Vetted by YouTeam

Mexico

UTC -06:00

America/Mexico_City

English:

Upper Intermediate

Senior FullStack Engineer with 5 YoE

Senior Full Stack with 5 YoE in web software development, creating solutions for public and private organizations. Specialized in Full Stack development, I focus on scalable applications and best practices. My experience includes extensive work with React and Angular for front-end, and Express and Django for back-end. Additionally, I adapt quickly to new technologies in both front-end and back-end to maintain modern and efficient solutions.

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Expertise

Years of commercial development experience

5 years of experience

Core technologies

Python 5 years
Django 4 years
React.js 3 years
Node.js 2 years
TypeScript 4 years

Other technologies

AngularJS
ASP.NET
C#
Express.js
Flask
MongoDB
MySQL
Bootstrap
Next.js

Project Highlights

icon
Full stack

Application migration

Oct `22 - Mar `24

1 year

SECTUR

Migrate to new technologies the Sectur system for the registration of service providers where certificates were generated

Responsibilities & achievements

Implement structure database, migrate and adapt to the new structure the data of your databases, develop an API Rest and develop frontend

ASP.NET
Django
Next.js
icon
Full stack

Prediction model for house valuation

May `21 - Jul `22

1 year

Real pricing

Learning model to predict the value of a house based on the entrance parameters, such as the location of the house, the characteristics of the house and its comforts, with a web application in which users can upload houses to sell, the web application contained a page to see all the houses recorded in the system

Responsibilities & achievements

Implement the model, train the model with real data, develop an API Rest for the model, develop frontend using next.js

Django
TensorFlow
Firebase
pandas
Next.js
Numpy
icon
Software Developer

Scoria prediction model in metallurgical process

Mar `19 - Sep `20

2 years

Frisa

Learning model Using the KNN algorithm to predict based on the entrance parameters how much slag it was going to be produced, the objective of this project is that with the help of the model the scum could be reduced in the metallurgical process

Responsibilities & achievements

Implement the model, train the model with real data, develop an API Rest for the model and set a container to store the API

Django
React.js
TensorFlow
pandas
Numpy

Education

Higher education in Computer Science

Agency

agency #2373

10-50

GMT-6

HOUSTON/United States

Core Expertise

AngularJS
API
AWS
C#
C++
Django
Express.js
Flask
Hibernate
Ionic
Java
Java EE
JavaScript
Kotlin
Magento
MEAN Stack
MongoDB
.NET
Node.js
Oracle
PL/SQL
Python
Rackspace
Ractive.js
React.js
React Native
SaaS
Salesforce
Selenium
SQL Server
Tableau
Ubuntu
UI
UML
VBA
VB.NET
Zendesk
.NET Compact Framework
IBM AS/400 Control Language
IBM DB2 Administration
J2ME
JasperReports
Java Servlets Development
LAMP Administration
Landing Pages
Laravel Framework
Machine learning Engineer
Microsoft Dynamics ERP
OAuth
Object oriented design
Object Oriented Programming (OOP)
Oracle APEX
Oracle Application Framework
QA Management
R-Hadoop
Salesforce Apex
Salesforce App Development
Salesforce.com
Scrum
Swift
VBScript
Web Crawler
Web Crawling
zapier
RabbitMQ
UI Bootstrap
Zabbix
Nagios
LDAP
Project Manager
Scrum Master
Spring Boot
Hadoop
Flutter
.NET Core
JavaScript MVC
Web Analytics

Industries

E-Commerce & Retail, Banking & Finance, Information services & Technologies, Service & Support, SaaS

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