Suresh Siva

Title: Suresh Siva’s Machine Learning Patents

Introduction

Suresh Siva is an inventor based in Boston, Massachusetts, whose patent work focuses on machine-learning systems and efficient data processing. He is associated with Humana Inc. and is named on 2 patents.

Latest Patents

Siva’s latest patents describe related approaches for streamlining machine-learning model development and deployment.

“Machine learning platform and feature generation for efficient data processing” describes a system that standardizes model training and deployment to reduce redundant work. It reformats and de-sensitizes data for storage, then makes reusable features available to models and training modules. The system establishes an evaluation cohort, selects a model template and relevant features, and supports experimentation. It also records training artifacts, such as model weights, and registers model scripts and settings in a centralized database for execution.

“Machine learning platform and pipeline for efficient data processing” presents a similar workflow for agile model development. It organizes data preparation and feature storage so that new models can reuse existing features rather than repeatedly adjusting the data. The system supports cohort selection, model experimentation and evaluation, and centralized storage of training artifacts and model configurations.

Career Highlights

Siva’s listed patent work centers on reusable data features, standardized machine-learning pipelines, and coordinated model training and deployment. These methods aim to help data scientists develop and evaluate models more efficiently.

Collaborations

Siva’s listed coworkers include Keegan Nesbitt and David Christopher Mack. His work is associated with Humana Inc.

Conclusion

Suresh Siva’s patents address practical infrastructure for machine learning, emphasizing reusable data preparation and organized model development to reduce redundancy and support efficient deployment.