Deepali Tuteja

This inventor holds 7 USPTO granted patents and 10 published patent applications. Top assignees: Citibank, N.a., Citigroup, Inc.. Active years: 2024-2026.

USPTO Granted Patents = 7 (Patent Applications = 10)

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)

Company Filing History:

Years Active: 2024-2026

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7 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12744806 - System and method for improving cybersecurity by generating activity reports using machine-learning models (2026-09-22),

2. 12411873 - Aggregating data ingested from disparate sources for processing using machine learning models (2025-09-09),

3. 12328359 - Allocating resources based on group performance metrics computed using machine learning models (2025-06-10),

4. 12314289 - Aggregating data ingested from disparate sources for processing using machine learning models (2025-05-27),

5. 12165035 - Systems and methods for responding to predicted events in time-series data using synthetic profiles created by artificial intelligence models trained on non-homogonous time-series data (2024-12-10),

6. 12155685 - System and method for improving cybersecurity by generating activity reports using machine-learning models (2024-11-26),

7. 12118389 - Systems and methods for determining allocatable resources during proportional maintenance of complex computing systems using bifurcated filtering (2024-10-15),

Title: Deepali Tuteja: Innovator in Machine Learning and Data Processing

Introduction

Deepali Tuteja is a prominent inventor based in Irving, TX, known for her contributions to the fields of machine learning and data processing. With a total of six patents to her name, she has made significant strides in developing systems that enhance data aggregation and resource allocation through advanced technologies.

Latest Patents

One of her latest patents focuses on aggregating data ingested from disparate sources for processing using machine learning models. This innovation presents systems and methods for transforming datasets from various sources into a unified format, enabling the identification of useful features for evaluation. The computing system applies machine learning models to generate outputs that measure the likelihood of usefulness, which can be visualized on a dashboard interface.

Another notable patent involves allocating resources based on group performance metrics computed using machine learning models. In this system, entities are categorized into segments, and groups are generated based on similarities. A trained machine learning model computes performance metrics, allowing for the efficient allocation of resources to enhance group performance.

Career Highlights

Deepali has worked with notable companies such as Citibank, N.A. and Citigroup, Inc. Her experience in these organizations has contributed to her expertise in financial technologies and data-driven solutions.

Collaborations

Throughout her career, Deepali has collaborated with talented individuals, including Girish Wali and Prasanth Babu Madakasira Ramakrishna. These collaborations have fostered innovation and the development of cutting-edge technologies in her field.

Conclusion

Deepali Tuteja stands out as an influential inventor in the realm of machine learning and data processing. Her innovative patents and career achievements reflect her commitment to advancing technology and improving data management systems.