Deep Learning / Gen AI / Agentic AI
Deep Learning Engineer, Tech Lead, PhD
Experienced in implementing and deploying Deep Learning models and state-of-the-art architectures to create innovative and robust software solutions.
Specialized in Generative AI, Agentic AI and Computer Vision. Strong commitment to learning, problem solving and best practices in software development.
01 / Experience
Mar 2026 - present
Mango
Technical Lead specializing in the design and delivery of scalable GenAI solutions.
Experienced in coordinating cross-functional platform and engineering teams to deploy robust AI-driven features to the global user base, including the enterprise-wide Virtual Try-On solution and applications to scale e-commerce asset creation.
Jan 2025 - Mar 2026
Mango
Design and deployment of GenAI systems: custom image generation based on diffusion and flow matching models, API development with MCP functionality, Large Language Models (LLMs), and integration into AI Agents.
CI/CD for efficient and scalable app deployments for cross-functional teams.
Apr 2022 - present
DeepLearning.AI
Community advisor in Andrew Ng's DeepLearning.AI platform. Mentor in several courses to help students obtain their certificate.
Writer for The Batch newsletter about recent papers and relevant topics in the machine learning and artificial intelligence industry.
Apr 2021 - Jan 2025
Universidad Carlos III de Madrid
Computer vision systems development for real-time 3D environment perception and tracking with deep learning in autonomous driving.
Complex and multimodal data analytics with machine learning applied to Tool Condition Monitoring (TCM) in Airbus for A350 aircraft manufacturing.
Design and implementation of computer vision systems with deep learning for security access control and deployment in AWS with Android and Mac app interfaces.
Model optimization for real-time inference on edge devices.
Linux System Administrator in the Intelligent System Lab research group.
Dec 2020 - Jun 2021
Everis Aerospace, Defense and Security
Development of computer vision systems for the aerospace industry with deep learning architectures for real-time object detection.
02 / Foundations
Mar 2022 - Feb 2026
Universidad Carlos III de Madrid
Cum Laude with International Mention.
Published 4 journal papers, 3 of them Q1 quartile, and 6 conference papers.
Visiting researcher at Karlsruhe Institute of Technology.
Recipient of the FPU Fellowship from the Ministry of Education, awarded to Spanish PhD candidates with the highest academic records through a national competitive call.
Sept 2020 - Feb 2022
Universidad Carlos III de Madrid
GPA: 9.72 / 10. Honors in 2 subjects.
Sept 2016 - Jun 2020
Universidad de Almeria
GPA: 9.06 / 10. Honors in 15 subjects.
2022
Education Ministry, Spanish Government
One of the top-ranked students in Spain for PhD candidacy.
2022
Universidad Carlos III de Madrid
Best academic record in the Industrial Master in Robotics and Automation.
2020
Universidad de Almeria
Best academic record in Industrial Electronics Engineering.
2019 and 2022
Michelin Spain Portugal S.A.
Best academic record in Industrial Electronics Engineering, 1st - 2nd year and 3rd - 4th year.
2020
Escuela Superior de Ingenieria, Universidad de Almeria
Best End-of-Degree Thesis for "Modelling, control and optimization of an autonomous multi-robot system for intelligent transport."
2020
Escuela Superior de Ingenieria, Universidad de Almeria
Best academic record in Industrial Electronics Engineering at Universidad de Almeria.
2019 - 2020
Education Ministry, Spanish Government
One of the top-ranked students in Spain. Worked in the Informatics Department at Universidad de Almeria.
2016 - 2019
Universidad de Almeria
Best grade in the University Access Exams across all Engineering Degrees at Universidad de Almeria (13.55 / 14). Later studentship renewals because of academic record.
03 / Projects
01
An open course for Madrid Innovation Lab covering deep learning foundations and applications in vision and language.
View repository
02
A large open-source collection of annotated European vehicle images for license-plate detection and recognition.
View repository03
Real-time vehicle and license-plate recognition from multiple streams, optimized for modest hardware and browser viewing.
View repository04
A tool for supervised and unsupervised linguistic coding of interviews for sociolinguistic research.
View repository
05
Real-time 3D object detection for road infrastructure, fusing RGB images and LiDAR point clouds with ROS communication.
View repository04 / Publications