Experience
Industry
Vortico
Co-Founder
Málaga, Spain
Jan 2022 - Present
Helping businesses enhance and expand their AI and technology capabilities.
Tenth Revolution Group
Senior Data Architect
London, United Kingdom
Sep 2023 - Present
In my current role at Tenth Revolution Group, I serve as an Independent Consultant, specializing in Software Architecture and Development projects with a strong emphasis on Machine Learning and Data Engineering. Leveraging my expertise, I provide strategic guidance and technical leadership in designing and implementing innovative solutions tailored to the unique needs of diverse projects.
My responsibilities encompass a spectrum of tasks, including but not limited to architectural design, code development, and the integration of machine learning principles into software projects. Through this role, I contribute to the successful execution of projects, ensuring they align with industry best practices and standards.Adevinta
Machine Learning Enabler
Barcelona, Spain
Oct 2022 - Dec 2023
In my capacity as a Machine Learning Enabler at Adevinta, Europe, I have been at the forefront of steering the company's strategic shift towards full AI adoption. My responsibilities include the implementation of industry standards for Machine Learning Operations (MLOps). I have led the development of template repositories and systematized machine learning workflows, leveraging cutting-edge technologies such as Kubeflow and adhering to MLOps standards.
Beyond MLOps, I have played a crucial role in ML Enabling by delivering recurring talks and live coding sessions. These efforts have been instrumental in leading and educating the team on ML engineering practices. Additionally, I have designed a standardized route for machine learning across various verticals of the company, with a primary focus on streamlining and guiding the implementation of ML solutions.
As a leader in Data Engineering through my ML Enabler role, I have overseen data engineering efforts involving data ingestion into Redshift and S3. This also includes data transformation using Spark and Databricks, ensuring a robust data foundation to support the company's machine learning initiatives.Stratyfy
Machine Learning Consultant
New York, United States
Jul 2022 - Nov 2022
During my tenure as a Machine Learning Consultant at Stratyfy, New York, USA, I assumed a leadership role in building and productionalizing machine learning models, specifically for credit-card fraud detection. This encompassed not only the development of models but also ensuring their readiness for deployment in real-world scenarios.
In addition to my responsibilities in machine learning, I took the lead in the design and implementation of a Data Lake dedicated to credit-card transactions. This signifies my leadership in establishing a robust data foundation essential for the success of machine learning applications.Covalto
Senior Data Architect
Ciudad de México, México
Jun 2020 - Jul 2022
In the role of Senior Data Architect at Covalto, I assumed a critical position in the organization, overseeing the design, leadership, and execution of the entire data solution life cycle. My responsibilities encompassed the strategic development of a comprehensive data solution, strategically addressing the ingestion of data from diverse sources. This involved orchestrating meticulous processes for gathering and curating data, ensuring a standard of quality and reliability.
Another pivotal aspect of my role involved leading the creation of a machine learning-driven segment, dedicated to generating new data. Leveraging advanced machine learning techniques, I played a crucial role in fostering innovation within the data ecosystem and staying abreast of cutting-edge technological advancements.
Furthermore, I spearheaded the establishment of a robust final stage, focusing on the production of valuable reports and the creation of queryable sources. Close collaboration with product-oriented teams was paramount to tailor outputs that met their specific needs, seamlessly integrating into the overall product development cycle.
My skill set, encompassing Data Streaming, Data Architecture, Serverless, Data Science, Machine Learning, and Data Engineering, played a vital role in architecting a scalable and efficient solution. Throughout my tenure at Covalto, I ensured the alignment of the data architecture with organizational goals, contributing significantly to the company's overall success and product development strategy.Piksel
Software Architect
York, United Kingdom
Jun 2019 - Jun 2020
In my role as a Software Architect at Piksel Inc, I led, designed, and developed projects related to media metadata within a product-oriented context. Managing a highly-skilled team, we were end-to-end responsible for a suite of services designed for the gathering, enrichment, and exposure of various types of media metadata.
These services, built using modern technology stacks and designed with Big Data and Artificial Intelligence techniques, formed the backbone of a data-driven and polyglot architecture. Mainly employing Python, Java, and JavaScript languages, alongside multiple relational and NoSQL databases, the architecture included highly-scalable serverless services based on streaming engines such as Kafka and AWS Kinesis.Whalar
Head of Data Science
London, United Kingdom
Jun 2018 - Jun 2019
As the Head of Data Science at Whalar, I held a position of responsibility over the entire data ecosystem within the company. The primary objective of this ecosystem was to provide a reliable and continually updated source of metadata from influencers. This data was enriched with various own- generated metadata, incorporating fraud detectors, followers health evaluators, segmented potential exposition, and more, employing diverse Machine Learning techniques.
A secondary goal involved using the data ecosystem as a Business Intelligence platform to enhance the sales process and integrate feedback from sales campaigns into our data system. The entire system was built following a Kappa architecture, utilizing Kafka streams, modern APIs based on REST or GraphQL, and Data Warehousing to achieve significant efficiency gains.Piksel
Lead Developer
York, United Kingdom
Jul 2016 - May 2018
During my tenure as a Lead Developer at Piksel Inc, I collaborated within a dynamic team to build an ecosystem of services based on Artificial Intelligence. Leveraging Python and various frameworks, including Django, Celery, Scrapy, TensorFlow, and Gensim, we addressed multiple challenges in image and video processing, as well as natural language processing for text patterns recognition.
Every service was intricately built on top of the latest infrastructure using AWS services, with containerization through Docker and Mesos/Marathon. Continuous integration and continuous deployment principles were applied using Gitlab and GoCD pipelines.Ebury
Lead Big Data Engineer
London, United Kingdom
Apr 2015 - Jul 2016
As the Lead Big Data Engineer at Ebury, my primary focus was within the Business Intelligence domain. I played a pivotal role in architecting, designing, and developing Big Data solutions aimed at enhancing the sales process, campaigns, and feedback mechanisms. I utilized various Weak Artificial Intelligence techniques, including Fuzzy Logic Systems and Artificial Neural Networks, applying Machine Learning methodologies to achieve optimal results.
Ebury
Web Backend Engineer
London, United Kingdom
Jul 2014 - Jul 2016
In my capacity as a Web Backend Engineer at Ebury I was an integral part of a team responsible for monitoring and improving service performance. This involved developing tools for system health, refactoring significant components of applications, and implementing technologies such as cache layers and clustering to databases.
One of the key aspects of this role was the design and implementation of a performance test suite, crucial for effective benchmarking of our applications. My responsibilities extended to understanding the entirety of the system, constant monitoring, and the continuous development of tools to ensure the health and efficiency of our services.
Academic
Research scholarship
Universidad de Málaga
Málaga, Spain
Sep 2012 - Mar 2014
During my time as a Research Scholar at the Universidad de Málaga, I conducted research on Algorithmic Musical Composition and Music Information Retrieval, focusing on Fuzzy Logic systems.
Education
BEng.+MEng. Computer Science
Universidad de Málaga
Málaga, Spain
Jun 2013
Research
Talks and seminars
Flama: Framework for Lightweight Applications and Machine learning Automation
OpenSouthCode
Málaga, Spain
Jun 2023
Machine Learning services validation
Test Academy
Madrid, Spain
Sep 2019
High-performant asynchronous APIs
PyCon
Alicante, Spain
Sep 2019
New generation of APIs
PyCon
Málaga, Spain
Oct 2018
Create, package and distribute your own Python application
PyCon
Cáceres, Spain
Sep 2017
Flex schemas with PostgreSQL and Django
OpenSouthCode
Málaga, Spain
May 2017