Profile picture of Álvaro Jiménez

Álvaro Jiménez

Software Engineer

Specialized in software development with a passion for creating efficient, scalable and real solutions.

Know me

About Me

I am a passionate software engineer and robotics enthusiast, with a strong focus on continuous learning and problem-solving. I have worked and collaborated on real robotics and fullstack web development projects.

With my knowledge, skills, and experience, I am ready to face new challenges and contribute to the success of innovative projects in the field of robotics and web development.

+3

Years of experience

+220

Course hours

+40

Explored technologies

Clean Code

I follow best programming practices to ensure my code is clean, readable, and maintainable.

Problem Solving

I have a strong ability to analyze complex problems and find efficient solutions.

Continuous Learning

I am committed to my professional development and always seek to learn new technologies.

Technical Skills

Frontend Development

JavascriptTypescriptHTMLCSSVue.jsReactNuxt.jsTailwind CSS

Backend Development

PythonC++FastAPINode.jsMySQLMongoDB

Hardware

ArduinoRaspberry PiSerial CommSensors

Robotics

ROS/ROS2GazeboRVizOpenCVSLAM

Systems

LinuxBashCLISSHPackage ManagersGNOME

Testing

SeleniumUnittestPlaywrightJest

Tools & DevOps

GitDockerCI/CDVercelGitHub ActionsSupabase

Project Management

GitHubAtlassian SuiteTrelloNotion

Work and Education

Keonn Technologies background
Keonn Technologies logo
Keonn Technologies
Barcelona, Spain March 2023 - Present

Software Engineer for Robotics

I have contributed to the development of autonomous robots for inventory management in the retail sector in all its aspects. My role has focused on designing, prototyping (R&D), and developing solutions (DEV), working from the implementation of sensors and components to UX/UI design oriented to operators, through control logic programming and system integration.

Key points of the role

  • Software development for autonomous robots in the retail sector.
  • Design and implementation of sensors and components for optimization.
  • Web development of robot interfaces.
  • Control logic programming and integration of robotic systems.
  • Optimization of localization and navigation packages to improve operational autonomy.
  • System integration: hardware, firmware, and software in robotic architecture.
  • REST APIs and bidirectional robot-server communication.
  • Maintenance and physical repair of robotic hardware.
  • Replacement, calibration, and diagnosis of sensors and components.
ROSPythonLinuxVue.jsSensorsFlaskRVizEmbedded Systems
Pompeu Fabra University background
Pompeu Fabra University logo
Pompeu Fabra University
Barcelona, Spain September 2020 - July 2024

Bachelor's Degree in Systems

I have developed and applied solutions in Machine Learning, digital signal processing, and telecommunications. I have carried out projects that integrate ML algorithms with audio and video processing, demonstrating the ability to design complex systems from theory to practical implementation.

Key points of the role

  • Development of Machine Learning models for classification and regression.
  • Digital signal processing for audio and video analysis.
  • Video processing for object detection and tracking.
  • Knowledge in data structures and algorithms for code optimization.
  • Implementation of integrative projects combining ML and signal processing.
  • Development of communication networks and data transmission protocols.
  • Data analysis and visualization for result interpretation.
PythonC++JavaTensorFlowOpenCVSignal ProcessingPandasScikit-learnCisco Packet TracerNetworks

Projects

Organization background

digivault

Web platform for managing and viewing memories with secure authentication, full CRUD, file upload, and responsive interface with animations. Backend with real-time data synchronization.

HTMLJavascriptReactFramer MotionTailwindcssDaisyUIGitNode.jsVercelSupabase
Organization background

TFG: Analysis, development, and results of the integration of ultrasonic sensors for improving the navigation of an RFID robot

Study of the improvement of the navigation of an RFID robot in retail environments to minimize lateral blind spots and ensure safe navigation. Sensors are integrated into the robotic base, data filtering algorithms are applied, 3D housings for the sensors are designed, and performance is evaluated in a simulated store environment.

ROSLinuxPythonRFIDURDFAutoCADTinkerCADI2CRS232Kalman FilteringRFIDSensorsTestingSimulation

Courses

Course logo
Linux Administrator - LPIC1
PUE 2025

Linux course aligned with the Linux Professional Institute - LPIC1 certification

LinuxUbuntu, DebianBashGNUAPTSNAPGNOMESystem Administration
Course logo
Web Development Bootcamp
Ironhack 2025

Intensive web development course covering front-end and back-end technologies.

HTMLCSSJavaScriptReactNode.jsSupabaseMongoDBVercelGitGitHub
Course logo
Deep Learning: TensorFlow
Pentalearning 2024

Comprehensive course on deep learning techniques using Python and TensorFlow.

PythonTensorFlowscikit-learnTensorBoardNumPyScikit-learnMatplotlibKerasJupyter Notebooks

Languages

Spanish

Native
Catalan

Catalan

Native

English

C1
2022

Swedish

A1

Publications