AR.

Deep learning / GenAI / computer vision

Álvaro
Ramajo.

I build capable AI systems and the software foundations that let them work in the real world.

Portrait of Alvaro Ramajo

I work at the intersection of research and engineering, with a focus on computer vision, multimodal perception, and generative AI.

Selected work

01 / Selected work

Systems with
something at stake.

Course material from the Madrid Innovation Lab deep learning course

01

Deep Learning Course

An open course for Madrid Innovation Lab covering deep learning foundations and applications in vision and language.

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Sample annotated vehicle images from the UC3M-LP dataset

02

UC3M-LP Dataset

A large open-source collection of annotated European vehicle images for license-plate detection and recognition.

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Vehicle recognition interface from the Pyrseia OCR project

03

Pyrseia OCR

Real-time vehicle and license-plate recognition from multiple streams, optimized for modest hardware and browser viewing.

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Visualization from the Autolingua linguistic analysis project

04

Autolingua

A tool for supervised and unsupervised linguistic coding of interviews for sociolinguistic research.

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Point cloud visualization from the Sensus-loci project

05

Sensus-loci

Real-time 3D object detection for road infrastructure, fusing RGB images and LiDAR point clouds with ROS communication.

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02 / Experience

Research-minded.
Delivery-focused.

2025 - present

Deep Learning / GenAI Engineer

Mango

Designing and deploying image-generation systems and LLM applications, with CI/CD and scalable software practices for cross-functional teams.

2022 - present

Community Advocate and Mentor

DeepLearning.AI

Sharing practical perspectives on machine learning and AI, and mentoring learners in the TensorFlow Developer Professional Certificate program.

2021 - 2025

Deep Learning Researcher

Universidad Carlos III de Madrid

Developed computer vision and multimodal systems for industrial and research projects, from autonomous-driving perception to real-time OCR.

2024

Guest Researcher

Karlsruhe Institute of Technology

Worked on synchronized LiDAR and camera data engineering, calibration, curation, and 3D perception models with the MRT research group.

03 / Foundations

A long view
of the work.

Education

  1. 2022 - presentPhD, Electrical, Electronics and Automation EngineeringUniversidad Carlos III de Madrid, FPU fellowship
  2. 2020 - 2022Master in Robotics and AutomationUniversidad Carlos III de Madrid, GPA 9.72 / 10
  3. 2016 - 2020Industrial Electronics EngineeringUniversidad de Almeria, GPA 9.06 / 10

Recognition

  1. 2022Best Master Academic RecordUniversidad Carlos III de Madrid
  2. 2022Best Paper Award FinalistComite Espanol de Automatica
  3. 2021Best Degree Academic RecordUniversidad de Almeria

04 / Publications

Work made
public.

  1. 2024Three-Dimensional Vehicle Detection and Pose Estimation in Monocular Images for Smart Infrastructures Mathematics
  2. 2024

    Deteccion 3D en infraestructuras inteligentes basada en imagen monocular XLV Jornadas de Automatica

  3. 2023Dual license plate recognition and visual features encoding for vehicle identification Robotics and Autonomous Systems
  4. 20233D Object Detection for Autonomous Driving: A Practical Survey VEHITS
  5. 2023Deep Learning for robust vehicle identification Robot 2022
  6. 2022Intelligent Video Surveillance Systems for Vehicle Identification Based on Multinet Architecture Information