Round Rock, TX, United States of America

Sathish Kumar Lakshmipathy

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2023-2024

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Innovations of Sathish Kumar Lakshmipathy

Introduction

Sathish Kumar Lakshmipathy is an accomplished inventor based in Round Rock, Texas. He has made significant contributions to the field of predictive machine learning, with a focus on event-series and time-series computer models. His innovative work has led to the development of two notable patents.

Latest Patents

Sathish's latest patents include "Predictive, machine-learning, event-series computer models with encoded representation" and "Predictive, machine-learning, time-series computer models suitable for sparse training sets." Both patents involve processes that utilize entity logs to train predictive machine learning models. These models are designed to predict whether an entity will engage in targeted actions within a specified duration of time in the future. The processes include obtaining entity logs, training the models with one or more processors, and storing the trained models in memory.

Career Highlights

Sathish Kumar Lakshmipathy is currently employed at Cerebri AI Inc., where he continues to push the boundaries of machine learning technology. His work is instrumental in advancing the capabilities of predictive analytics in various applications.

Collaborations

Sathish collaborates with notable colleagues, including Eyal Ben Zion and David Alexander Curry. Their combined expertise fosters an environment of innovation and creativity within their projects.

Conclusion

Sathish Kumar Lakshmipathy's contributions to predictive machine learning exemplify the impact of innovative thinking in technology. His patents reflect a commitment to advancing the field and improving predictive capabilities.

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