Esteban Velez Vega is a highly skilled and innovative Senior Software Engineer with over 10 years of experience specializing in Artificial Intelligence, Machine Learning, and Big Data solutions. He possesses a strong background in developing scalable backend systems and deploying machine learning models into production environments. Esteban is passionate about leveraging cutting-edge technology to solve real-world problems and has a proven track record of leading engineering teams to deliver high-impact projects. He is an advocate for clean code, agile methodologies, and continuous learning, always seeking to expand his knowledge in emerging tech fields.
Esteban Velez Vega's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led the design and development of a real-time fraud detection system using machine learning, which reduced fraudulent transactions by 25% for a major financial services client, processing millions of transactions daily.
Co-authored and presented a paper on advancements in sentiment analysis using deep learning techniques at an international AI conference, contributing to the academic community and industry best practices.
Contributed significant performance optimizations to a popular open-source machine learning library, improving its processing speed for large datasets by an average of 15%, benefiting thousands of users globally.
United Nations University - Institute for the Advanced Studies in Sustainability - Year 2017
Universidad Externado de Colombia - Year 2004
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Mejor en Bici is a company based in Buenos Aires, Argentina, founded in 2010, that specializes in promoting sustainable urban mobility through bicycle-centric solutions. They offer services such as corporate bike-sharing programs, bike fleet management, and consulting for implementing cycling infrastructure. Their mission is to improve the quality of life in cities by encouraging the use of bicycles as a healthy, ecological, and efficient mode of transportation, particularly for businesses and their employees.
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