Mauricio Andrés Vélez Sánchez

Mexico

@mauriciovelsa99

Badges

Problem Solving
Sql

Certifications

mauriciovelsa99 has not earned any certificates yet.

Work Experience

  • Developer

    Ruby on rails projects•  January 2024 - January 2024•  Remote

    Billboard Advertising Platform Developed a web application that allowed users to purchase billboard advertising spaces. Users could upload their ads, select their desired billboards, and make payments. The ads would be displayed at the chosen times. Service Marketplace Created a platform where people could offer products and services, which could be hired directly through the application. Uptime Monitoring Platform Built a platform to monitor uptime for any service using various protocols including HTTP, heartbeat, ping, and telnet. The platform offers customizable alert settings and provides real-time notifications on the status of monitored services. In each project, I led the development of both front-end and back-end components and managed version control using Git. I ensured the applications were fully responsive and implemented automated tests with every deployment to maintain functionality and reliability. Additionally, I oversaw server administration on AWS, configured CI/CD pipelines, and managed the entire infrastructure.

  • Developer

    Python Projects•  January 2024 - January 2024

    Developed a recurrent neural network (RNN) for cryptocurrency trading using Python and TensorFlow. The purpose was to predict the direction of the BTC/USD pair for a given period to profit from the asset's fluctuations. Additionally, built a futures trading simulator in Python using object-oriented programming (OOP), where the neural network was run and data such as executed orders, wins, losses, final balance, etc., were collected.

  • Developer

    ChatGPT Document Manager•  January 2024 - January 2024

    Vectorized a large number of documents and integrated ChatGPT into a bot for managing documents and providing information about them using Langchain. The documents were stored in a vectorized database, which the chatbot connected to in order to perform queries and retrieve the documents containing the requested information.

Education

  • FCFM UAdeC

    Bachelor's Degree in Applied Mathematics•  August 2019 - December 2023

Skills

AWS
Vultr
Hetzner
Git
GitHub Actions
Docker
SQL
Ruby on Rails
Flask
React
Bootstrap
Tailwind
Ruby
Python
JavaScript
CSS