INTRODUCING
I am passionate about problem-solving using Artificial Intelligence techniques and getting value from data. Continuous improving and learning is my natural state. I am currently working on applying deep learning models for estimating steel of concrete structures of buildings and optimization of complex problems using AI.
Feepik
December 2023 - Present
Develop and deploy AI-Based services on Ray for semantic search, user recommendation, related search expresión, among others.
Version 1
March 2023 - September 2023
Develop services for a Data Management Platform of a client using FastAI and AWS services such us S3, DynamoDB and Lambdas.
CLERHP ESTRUCTURAS SA - Spain
September 2020 - March 2023
Lead a development team in a reinforced concrete structure engineering company for its digitization using Artificial Intelligence. Example of applications are structure design optimization using genetic algorithms and automation of budget generation by estimating required steel quantities.
Infomicro - Spain
April 2020 - August 2020
Development of a system for 24/7 monitoring pigs based on processing video images. I was involved on the core development in Python using OpenCV and Tensorflow for detection and tracking of the animals.
University of Murcia - Spain
Febriry 2019 - June 2020
Advanced Subjects such as Business Intelligence, Multi-agent Oriented Programming, Intelligent Systems.
ANSWARETCH SL - Spain
January 2017 - March 2020
Development of ML services on a Big Data project (Transforming Transport), a library for offline facial recognition on a mobile application, and algorithms for processing satellite images on serverless architecture.
Universidad Complutense de Madrid - Spain
January 2013 - December 2016
I was involved in SociAAL, a research project that aims at the development of a software oriented towards the early development and rapid prototyping of AmI systems. I design and developed from scratch a 3D simulator on Java using JMonkeyEngine and an Android layer for allowing Apps to interact with the virtual world.
University of Murcia - Spain
September 2008 - December 2012
I was involved in several research projects where I implemented prototypes using Java programming language.
Python90%
SQL70%
Test Driven Development70%
Flask80%
AWS Serverless Stack70%
Linux command90%
Docker70%
AWS SAM80%
CI/CD Bitbucket Pipelines60%
AirFlow70%
Jupyter Notebook80%
Pandas90%
Scikit-learn70%
TensorFlow/Keras/FastAI70%
Dashboards (Bokeh)90%
Jira70%
Communication90%
Approachability and Availability90%
Organisation90%
Delegation80%
Universitat Oberta de Catalunya (UOC) - Spain
September 2021 - January 2023
Optional subjects: Deep Learning and Reinforcement Learning.
University of Murcia - Spain
January 2013 - December 2016
Thesis titled "Model Driven Development for Ambient Intelligence Simulations". Supported by a PhD Grant.
University of Murcia - Spain
September 2011 - September 2012
Project titled "An Infrastructure of Social Simulation for Testing and Validation of Android Applications before their deployment".
University of Murcia - Spain
September 2001 - September 2008
Project about the optimization of a segmentation algorithm (MSER) for computer vision.
Date: 1, September 2021
Category: Artificial Intelligence
Client: CLERHP ESTRUCTURAS SA
Live DemoA tool based on a genetic algorithm for optimization of concrete structures given a set of constrains. The tool was integrated in FreeCAD.
Date: 1, June 2019
Category: Face Recognition
Client: Frutas Esther
More InfoA system to identify farmworkers using mobile phones through face recognition. It aims at avoiding identity fraud of workers. A backend system was developed to update the ML model with new photos of workers and synchronize the devices. DLib and TensorFlow were used as base technologies.
Date: 1, September 2016
Category: Big Data
Client: AnswareTech SL
More InfoThis pilot is focused on cars that belong to different sort of companies interested in achieving an efficient management of their fleets. 20k vehicles were managed using technologies such as MongoDB, Python and AirFlow. A Dashboard for monitoring vehicles was developed using Bokeh. For estimating fuel consumption a Random Forest Repressor algorithm was trained. A set of jupyter notebooks were created for Data Analysis Exploration.
Date: 31, January 2022
Category: Data Visualization
Client: Master Data Science
Live DemoAn Interactive COVID-19 Dashboard Demo built on Bokeh to analyse vaccination evolution of EU/EEA countries by age ranges, vaccine brand and date range.
Date: 1, September 2021
Category: Machine Learning
Client: CLERHP ESTRUCTURAS SA
A project that aims at predicting steel of reinforced concrete structures for making budgets. Both a tool for gathering and management of data and a notebook for training Keras models was developed. The model was deployed with an API using AWS serverless technologies such as API Gateway and Lambda.
Date: 31, December 2016
Category: Ambient Intelligence - Simulation
Client: UCM
More Info Live DemoThis is a software oriented towards the early development and rapid prototyping of AmI systems. As a PhD student I designed and developed from scratch the simulator using a Java game engine called JMonkeyEngine and the Android layer for conecting services to the virtual world.
Date: 1, September 2010
Category: Multi-Agent Systems
Client: MediaPro
A multi-agent system where agents bit in auctions for getting advertising slots at the U sign of the football stadium in real time based on match events.
Hard to chose... too many hobbies for a life so short! Some of them are: