Carlos David Toapanta Noroña

Junior Software Engineer at SYSCAP
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Monterrey, Nuevo León, Mexico, MX
Languages
  • Inglés Full professional proficiency
  • Español Native or bilingual proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

5.0

/5.0
/ Based on 1 ratings
  • (1)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

Hector G. Ceballos

I would like to recommend Carlos Toapanta by his participation in our project on Measuring Indoor occupancy using IoT and AI. Carlos is an expert developer in Python and AWS, being responsible by the front-end and back-end of the application. Best regards, Hector G. Ceballos

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • Mexico
    • Software Development
    • 1 - 100 Employee
    • Junior Software Engineer
      • Jul 2022 - Present

      ● Executed 80+ feature upgrades for SYSCAP SaaS web application platform using Ruby on Rails & PostgreSQL, including thorough unit testing to ensure optimal code functionality. ● Steered conversations with the back-end team to define requirements for a range of 10+ customer profiles, reconciling expectations and resources to ensure optimal functionality. ● Synthesized customer input into prioritized project lists, allocating tasks among the eng. team while utilizing an agile methodology process, enabling 10% higher levels of efficiency in execution time-frame. Show less

    • Mexico
    • Higher Education
    • 700 & Above Employee
    • Software Engineer Intern
      • Nov 2021 - Feb 2023

      ● Programmed ESP32 devices with Arduino functionality to accurately monitor temperature, humidity & of three meeting rooms, processing data every minute for transmission to API Gateway & Timestream. ● Designed Timestream database to precisely store, manage & quickly query up to 43,200+ device records monthly, resulting in 50% faster data access times for key operations. ● Constructed an ML algorithm utilizing Scikit-learn, successfully processing data input to accurately predict occupancy levels in given rooms with 80% accuracy. ● Developed a REST API using Python, AWS & Flask, incorporating AWS Lambda & API Gateway, to collect data from 6+ ESP32 devices every minute. ● Developed interactive dashboard utilizing Angular, TypeScript, HTML, and CSS to display up-to-date occupancy status & history of customer activity. Show less

Education

  • Tecnológico de Monterrey
    Bachelor's degree, Computer Science
    2019 - 2023

Community

You need to have a working account to view this content. Click here to join now