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Carlos H.

CyberSecurity | DevSecOps

Connect with me:carlosherreroac

My MS learning path

whoAmI{
  user: cherrero;
  aka: NjggNjUgNzIgNjEgNjMgNmY;
  currently: CyberSecurity,
             Working on some projects at 42 School;
}
   
whereAmI{
  city: Málaga,Spain;
  aka: world;
}
   
whatCanI:{
  spanish: native;
  english: fluent;
  german: good;
}

About my projects in 42 School

42 Cursus{
  user: cherrero;
  aka: philanthropist;
  grade: learner;
  level: 3 - 21%;
  start: Sept 2023;
}

cursus projects{
  libft: 125/100;
  born2beroot: 125/100;
  printf: 100/100;
  get_next_line: 125/100;
  exam_rank02: 100/100;
  minitalk: 125/100;
  push_swap: 125/100;
}
   
inProgress{
  fdf: 3D graphics;
}

image 

C Piscine{
  level: 7 - 64%;
  date: August 2022;
}
BootCamp Cybersecurity{
  level: 1 - 60%;
  xp: I was able to complete all the projects by working as a team;
  date: Apr-Jun 2023;
}

image

#

thanks

Languages and Tools:

aws gcp azure bash bootstrap c django docker dotnet elasticsearch firebase git grafana html5 ifttt java javascript kibana kubernetes linux mariadb mongodb mysql nginx nodejs pandas php postgresql python vagrant

Splunk

cherrero42

 cherrero42

cherrero42

Carlos's Projects

ctf_umu_23 icon ctf_umu_23

CTF Cybercamp UMU 08-07-2023 08:00 Online Organizado por Universidad de Murcia https://eventos.um.es/101051/detail/ctf-cybercamp-umu.html

cybersec-challenge icon cybersec-challenge

CyberSec Challenge con Telefónica Tech y la Liga de Ciberseguridad de 42 Málaga Fundación Telefónica

hackforgood22 icon hackforgood22

HackForGood is where we create digital solutions for social problems. My team came up with the idea of creating an artificial inteligence that could simplify law protocols and complex administration texts into a shorter text that can be understood by people with functional diversities.

renfe-bot icon renfe-bot

Renfe-bot es un bot de Telegram + scraper que te ayudará a buscar billetes, especialmente útil cuando están agotados y dependen de la cancelación de otros usuarios

spaceapps_challenge_2023 icon spaceapps_challenge_2023

FireWatcher is an application that allows authorities detect fires and alert the population that can be affected. In this project, the processing through neural networks of all the data collected since the moment an event is triggered, is essential. The final objective is to prevent and act as quickly as possible in the event of wildfires.

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