Laurel, MD, United States of America

Maanasa Nagaraja

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Truist Bank. Active years: 2026.

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Maanasa Nagaraja: Innovator in Real-Time Event Prediction

Introduction

Maanasa Nagaraja is a notable inventor based in Laurel, MD (US). He has made significant contributions to the field of artificial intelligence and event prediction through his innovative patents. With a total of 2 patents, Nagaraja is recognized for his advanced systems that enhance the efficiency of predicting future events.

Latest Patents

Nagaraja's latest patents include "Real-time prediction of future events using integrated input relevancy" and "Efficient processing of extreme inputs for real-time prediction of future events." The first patent describes a system that utilizes a computer to implement a front-end input condensation program and a back-end machine learning program. This system effectively condenses input data while maintaining relevance to previous events associated with users. The second patent focuses on reducing input data size for an AI engine, allowing for more efficient predictions of subsequent events.

Career Highlights

Maanasa Nagaraja currently works at Truist Bank, where he applies his expertise in machine learning and data processing. His work is instrumental in developing systems that improve the accuracy and speed of event predictions. Nagaraja's innovative approach has positioned him as a key player in the field of artificial intelligence.

Collaborations

Nagaraja collaborates with talented individuals such as Brian Franklin Kramer and Adam Thomas Lewis. Their combined efforts contribute to the advancement of technologies that leverage machine learning for real-time applications.

Conclusion

Maanasa Nagaraja is a pioneering inventor whose work in real-time event prediction is shaping the future of artificial intelligence. His patents reflect a commitment to innovation and efficiency in data processing.

Profile summary based on public USPTO records.
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