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Ethics of Artificial Intelligence developers in Spain - Ariel V.
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Ariel V.

Vetted Ethics of Artificial Intelligence developer in Spain (UTC+1)

I am a Senior Software Engineer with experience in full-stack development, project leadership, AI implementation, and system architecture design. I have worked on innovative marketplace projects and mobile app development.

Ethics of Artificial Intelligence developer - Ariel V.'s portfolio image
Ethics of Artificial Intelligence developer - Ariel V.'s portfolio image
Ethics of Artificial Intelligence developer - Ariel V.'s portfolio image
Ethics of Artificial Intelligence developer - Ariel V.'s portfolio image
Ethics of Artificial Intelligence developer - Ariel V.'s portfolio image
Ethics of Artificial Intelligence developer - Ariel V.'s portfolio image
Ethics of Artificial Intelligence developer - Ariel V.'s portfolio image
Ethics of Artificial Intelligence developer - Ariel V.'s portfolio image
Ethics of Artificial Intelligence developer - Ariel V.'s portfolio image
Ethics of Artificial Intelligence developer - Ariel V.'s portfolio image
Ethics of Artificial Intelligence developers in Spain - Diego A.
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Diego A.

Vetted Ethics of Artificial Intelligence developer in Spain (UTC+1)

Hello my name is Diego Gil, I am a python developer with more than 5 years of experience, I have a master's degree in artificial intelligence and I have experience in the part of machine learning, deep learning, backend using django and flask, aws, devops, databases. I am glad to have the opportunity to participate in this process and meet you.

Ethics of Artificial Intelligence developers in Spain - Javier B.
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Javier B.

Vetted Ethics of Artificial Intelligence developer in Spain (UTC+2)

PhD in Complex Systems and a researcher at the Universidad Politécnica de Madrid. In his career he has accumulated extensive experience in projects related to Data Science. He made a research stay at the MIT Media Lab where his research focused on transforming the data into insights and stories. During he is PhD he analyzed online social networks, developing models to understand influence. He has applied this research in the industry, helping companies to monitor sentiment on social networks, and deployed viral marketing campaigns. Over the last years he has made significant advances in the area of financial machine learning. As a result he has deployed solutions for algorithmic cryptocurrency trading and a platform used by coops that predicts the evolution of the prices of fruits and vegetables He is the founder of AGrowingData, a start-up that develops Big Data solutions for the agri-food sector.

Ethics of Artificial Intelligence developers in Spain - Adriano B.
Adriano B.

Ethics of Artificial Intelligence developer in Spain (UTC+1)

Data Scientist (more than 5 years) and Data Analyst (more than 10 years). Extensive knowledge in statistics applied to data and predictive statistical models; Financial Management and financial market; Dashboard creation (Power BI, Tableau, CRMA-Salesforce); Programming languages: PySpark, Python, SQL and R; Apache: Hive, Hadoop and Spark; Azure and Snowflake cloud environment. Master in Big Data and Artificial Intelligence, Master in Statistics and Mathematics and PhD in Management focused on Consumer Behaviour (Behavioural Finance). I am looking for a long-term stable position to develop my skills and new challenges.

Ethics of Artificial Intelligence developers in Spain - Hugo N.
Hugo N.

Ethics of Artificial Intelligence developer in Spain (UTC+2)

I consider myself passionate and pragmatic about technology, mainly when it presents challenges that with knowledge and creativity can be overcome.

Ethics of Artificial Intelligence developers in Spain - Daniel D.
Daniel D.

Ethics of Artificial Intelligence developer in Spain (UTC+1)

Data scientist with master's in Data Science and Computer Engineering and currently **PhD** student in **Artificial Intelligence** at the University of Granada. With 3+ years experience in European Research Projects working in the field of Computer Vision developing **edge-cloud** solutions for *Human Activity Recognition*, using techniques such as transfer learning, fine-tuning or knowledge distillation for improving the recognition performance of Deep Learning architectures for up to *20%* without impacting resource usage.

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