Ivan Escalonafaria

Q: What is Ivan Escalona-faria email address?

Email Ivan Escalona-faria at ivan.escalonafaria@kfrc.co. This email is the most updated Ivan Escalona-faria's email found in 2026.

Q: How to contact Ivan Escalona-faria?

To contact Ivan Escalona-faria send an email to ivan.escalonafaria@kfrc.co. (updated on August 24, 2024)

Machine Learning Engineer / Software Engineer at Kforce Inc | Cumming, Georgia, United States

About Ivan Escalonafaria

Ivan Escalona-Faria is a seasoned AI/ML Engineer at Kforce Inc, where he leverages over four years of specialized experience in integrating machine learning models into robust, production-ready systems. With advanced degrees in Information and Data Science from UC Berkeley and Computer Science from Georgia State University, Ivan possesses a profound understanding of both theoretical and practical aspects of artificial intelligence and machine learning. His role involves preparing and optimizing machine learning models developed by the Data Science team, ensuring they meet the rigorous demands of production environments.

Ivan is adept at implementing continuous integration and delivery (CI/CD) pipelines using Concourse, which streamlines the deployment process and enhances the reliability of machine learning applications. His expertise extends to utilizing Google Cloud Platform tools such as Dataproc, Dataflow, and BigQuery, enabling him to perform data processing and analytics at scale. Ivan's proficiency in programming languages like Java, R, and Scala, combined with his strong analytical skills, allows him to tackle complex data mining challenges effectively.

In addition to his technical skills, Ivan embraces Agile methodologies, fostering collaboration and adaptability within his team. His commitment to continuous improvement not only enhances the quality of machine learning solutions but also drives innovation at Kforce Inc. As he continues to work on key projects that bridge the gap between data science and software engineering, Ivan remains dedicated to pushing the boundaries of what is possible with AI and machine learning in real-world applications.

Ivan Escalonafaria Work