Juan Rios

Q: What is Juan Rios email address?

Email Juan Rios at juan.rios@neosoftllc.com. This email is the most updated Juan Rios email found in 2026.

Q: How to contact Juan Rios?

To contact Juan Rios send an email to juan.rios@neosoftllc.com. If you want to call Juan Rios try calling on +14079218761.

Machine Learning Engineer at NeoSoft, LLC | Greater Tampa Bay Area

About Juan Rios

Juan Rios is a dedicated Machine Learning Engineer at NeoSoft, LLC, specializing in the application of advanced machine learning and deep learning techniques within the medical industry. His primary focus is on the intricate analysis of MRI images of the heart, where he employs sophisticated classification, detection, and segmentation algorithms to enhance diagnostic accuracy and patient outcomes. With a robust background in Python programming and a deep understanding of neural networks, Juan is adept at developing and refining models that leverage cutting-edge architectures, ensuring that they remain at the forefront of technological advancements.

In his current role, Juan is instrumental in performing comprehensive data analysis to pinpoint areas for improvement in existing training datasets. By upgrading legacy models to incorporate newer architectures, he enhances their performance and reliability. His expertise extends to evaluating the current machine learning pipeline, where he identifies bottlenecks and inefficiencies, driving continuous improvement in model deployment processes. Juan’s proficiency in deploying models trained on TensorFlow into Java production environments exemplifies his versatility and technical acumen, bridging the gap between machine learning and software engineering.

Beyond his technical skills, which include proficiency in MATLAB, C++, and Google Cloud Platform (GCP), Juan is passionate about leveraging unsupervised learning techniques to uncover hidden patterns in complex medical data. His commitment to advancing the field of medical imaging through innovative machine learning solutions positions him as a valuable asset to NeoSoft and the broader healthcare technology landscape. As he continues to push the boundaries of what is possible in machine learning, Juan remains focused on improving patient care through data-driven insights.

Juan Rios Work