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Fernando Gimenez Coria

PROFILE

Fernando Gimenez Coria

Worked on the ISPC-PI-II-2024/Proyecto_hidroponico repository, building a scalable sensor data pipeline for hydroponics applications. Established a clear project structure and formalized team collaboration through comprehensive documentation and a Git workflow manual. Developed a testing framework for sensor integration, including BMP280 sensor readings, NTP-based real-time clock synchronization, and JSON serialization for data transmission. Introduced the SensorDataMQTT class to manage WiFi and MQTT connectivity, enabling reliable sensor data publishing with reconnection logic and error handling. Refactored the main setup for modularity and maintainability, leveraging C++, Arduino, and PlatformIO to ensure robust data logging and streamlined onboarding for new contributors.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

6Total
Bugs
0
Commits
6
Features
4
Lines of code
2,464
Activity Months2

Work History

May 2025

2 Commits • 1 Features

May 1, 2025

May 2025 — Key accomplishments: delivered a robust sensor data pipeline with MQTT publishing for the hydroponics project ISPC-PI-II-2024/Proyecto_hidroponico. Introduced SensorDataMQTT class to manage WiFi/MQTT connections and sensor data publishing; integrated BMP280 sensor and RTC with JSON data generation published via MQTT; refactored main setup to use the new class; improved reliability with reconnection retries and better error handling; updated unit tests and documentation; commits show emphasis on testing and integration: bfdc0636a00b44c9653489c49b82886ecb89b80e; 6096f4c7bee3163003d42986b1a7376e49e0d5e3.

April 2025

4 Commits • 3 Features

Apr 1, 2025

April 2025: ISPC-PI-II-2024/Proyecto_hidroponico — Delivered foundational groundwork enabling scalable development, testing, and data capture. Key accomplishments include repository scaffolding with clear project structure, formalized team Git workflow, and a sensor data testing framework with unit tests, time synchronization, and JSON data formatting. These efforts reduce onboarding time, standardize collaboration, and establish a reliable data pipeline foundation for early-stage hydroponics sensing projects.

Activity

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Quality Metrics

Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance83.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

ArduinoC++Markdown

Technical Skills

3D ModelingC++Data LoggingDocumentationEmbedded SystemsGitIoTJSON SerializationMQTTPlatformIOProject SetupReal-Time Clock (RTC)Repository StructureSensor IntegrationTeam Collaboration

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

ISPC-PI-II-2024/Proyecto_hidroponico

Apr 2025 May 2025
2 Months active

Languages Used

ArduinoC++Markdown

Technical Skills

DocumentationEmbedded SystemsGitIoTJSON SerializationPlatformIO