Claudio Verdú Ruiz, Developer in Madrid, Spain
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Claudio Verdú Ruiz

Verified Expert  in Engineering

Software Developer

Madrid, Spain
Toptal Member Since
October 9, 2020

Claudio is an artificial intelligence engineer with a master's degree in AI and a certification in TensorFlow. He's passionate about learning—not only within AI but also generic software concepts and how to apply them to projects productively. Claudio feels especially comfortable working with deep learning and enjoys facing challenging projects that make him a better developer and problem solver.


Data Science, Deep Learning, Google Cloud Platform (GCP)
Python, Artificial Intelligence (AI), Amazon Web Services (AWS)
Artificial Intelligence (AI), Python




Preferred Environment

Computer Vision, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Deep Learning, Artificial Intelligence (AI), Data Science

The most amazing...

...achievement in my team includes improvising to develop real software having SOLID principles into accounts, excellent Git practices, and more.

Work Experience

Artificial Intelligence Engineer

2023 - PRESENT
  • Developed, trained, and deployed recommender system deep learning models. Sometimes, I found and added new sources of data, and sometimes, I implemented low-level TensorFlow code that increased the models' performance and efficiency.
  • Implemented queries and pipelines for terabytes of data. Some of them are used by the entire DS team to keep track of our models' behavior in production, with easily interpretable graphs implemented in Mode (BI tool).
  • Acted as a reference and leader, helping to prioritize decisions, enhancing team dynamics (e.g., implanting Sprints), and improving communications with other teams like MLOps.
Technologies: Data Science, Deep Learning, Google Cloud Platform (GCP)

Data Lead

2022 - 2023
  • Managed, guided, and technically boosted a multidisciplinary data team composed of three data scientists, one MLOps engineer, and one data analyst.
  • Served as a connection between product and data-related development, sometimes identifying ideas that would add value to the business and getting them prioritized at the company level.
  • Led the team's dynamics in an Agile framework (Scrum).
  • Pushed SOTA Deep Learning and MLOps technology development.
Technologies: Python, Artificial Intelligence (AI), Amazon Web Services (AWS)

Artificial Intelligence Engineer

2021 - 2022
  • Participate in the definition, implementation, training, integration, and maintenance of the main deep learning models for the motor vertical of the product as a main actor.
  • Actively contribute AI expertise, good software practices, and methodologies inside my team and across squads.
  • Brought continuously new tools and SOTA algorithms to improve our product quality and performance.
Technologies: Artificial Intelligence (AI), Python

Artificial Intelligence Engineer

2020 - 2021
Turing Challenge
  • Participated in a sizable, big-impact project involving various technologies, such as computer vision, georeferencing (3D objects), and cloud computing, among others. The system localizes specific defects of an industrial plant.
  • Implemented a people-vs-animal detection model with TensorFlow on surveillance videos. Deployed it on Google Cloud using a Google Function for video transformations and GKE and TFX for the model.
  • Participated in developing an LPG tank detection model on aerial images using Detectron2.
  • Developed a Q&A chatbot using TensorFlow. Deployed it in AKS.
Technologies: TensorFlow, PyTorch, Software, Computer Vision, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Azure, Deep Learning

Artificial Intelligence Researcher

2019 - 2020
BABEL Information Systems
  • Developed a proof of concept (POC) around knowledge mining, which implements the unsupervised transformation of a document's text content into a graph.
  • Helped in the internal project advertisement at the company.
  • Helped to describe and elaborate on other natural language processing (NLP) proposals.
Technologies: PyTorch, TensorFlow, Graphs, Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), Deep Learning

Artificial Intelligence Researcher

2019 - 2019
  • Investigated, created the concept, and implemented a neural architecture search system for time series, involving transformers and evolutionary computation.
  • Defended vigorously a project to achieve its continuation.
  • Contributed to the project's paper/design documents.
Technologies: TensorFlow, Time Series, Deep Learning

Artificial Intelligence Engineer

2018 - 2018
BABEL Information Systems
  • Provided firm capabilities with an AI technology background to help the business layer create more robust proposals.
  • Contributed to creating a chatbot with the rest of the R&D department using RASA (
  • Developed different POCs/demos around ML/DL (machine learning/deep learning) to generate internal and external confidence.
Technologies: Machine Learning, Deep Learning

I worked on a research project in the text generation scope. The goal was to open a new path to generate text in opposition to the well known state-of-the-art language models. The tech stack combines data mining (gathering and transformation), evolutionary computation, and deep learning.

Kaggle Riiid Answer Correctness Prediction
In this competition, the challenge was to create algorithms for "Knowledge Tracing," the modeling of student knowledge over time. The goal was to accurately predict how students will perform in future interactions using Riiid's EdNet data.

I received a silver medal with a custom time series Transformer model.
2019 - 2020

Master's Degree in Research in Artificial Intelligence

Universidad Nacional de Educación a Distancia - Remote

2014 - 2019

Bachelor's Degree in Software Engineering

Universidad Politécnica de Madrid - Madrid, Spain

AUGUST 2020 - AUGUST 2023

TensorFlow Developer Certificate



PyTorch, NumPy, TensorFlow, Pandas




Data Science


Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP)


Deep Learning, Software, Machine Learning, Natural Language Processing (NLP), Computer Vision, Evolutionary Computation, Artificial Intelligence (AI), Transformers, Generative Pre-trained Transformers (GPT), Time Series, Graphs

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