Ann Arbor, MI, United States of America

Logan Sommers Ahlstrom

This inventor holds 15 USPTO granted patents and 8 published patent applications, primarily in Machine Learning Systems. Top assignees: Charles Schwab Co., Inc., Td Ameritrade IP Compnay, Inc., Charles Schwab & Co., Inc.. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Logan Sommers Ahlstrom. Retrieved from https://idiyas.com/inventor/logan-sommers-ahlstrom

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 15 

% Patents Active = 100.0

Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2020-2026

Loading Chart...
Areas of Expertise:
Machine Learning
Recommendation System
Natural Language Processing
Database Transformation
Content Personalization
Intent Prediction
Clickstream Analysis
User Interface
15 patents (USPTO):Explore Patents

Title: Innovator Logan Sommers Ahlstrom: Pioneering Machine Learning Solutions

Introduction

Logan Sommers Ahlstrom, an accomplished inventor based in Ann Arbor, MI, has made significant contributions to the fields of machine learning and natural language processing. With a remarkable portfolio of 12 patents, Ahlstrom is dedicated to enhancing customer interaction through innovative technology.

Latest Patents

Among his latest achievements is a groundbreaking patent titled "Machine Learning System for Customer Utterance Intent Prediction." This invention outlines a method for operating a customer utterance analysis system, which includes encoding utterances into multi-dimensional vectors and performing clustering to arrange them into coherent categories. The system effectively trains a neural network model to predict the intent behind customer utterances, streamlining customer service interactions.

Another notable patent is the "Machine-Learned Natural Language Document Processing System." This system employs a comprehensive approach for classifying documents based on compliance scores. It features an automated distribution module and a model building module to train machine learning models. By assessing compliance with regulatory criteria, Ahlstrom's system aims to enhance document management and compliance workflows within organizations.

Career Highlights

Logan Sommers Ahlstrom's professional journey includes significant roles at notable financial institutions, such as TD Ameritrade IP Company, Inc. and Charles Schwab & Company, Inc. His tenure at these organizations has equipped him with valuable insights into the intersection of finance and technology, allowing him to create relevant solutions for the industry.

Collaborations

Throughout his career, Ahlstrom has collaborated with talented individuals, including Ravindra Reddy Tappeta Venkata and Dayanand Narregudem. These teamwork experiences have undoubtedly contributed to the innovative projects he has undertaken, encouraging a diverse exchange of knowledge and expertise in machine learning applications.

Conclusion

Logan Sommers Ahlstrom stands out as a visionary inventor in the ever-evolving realm of machine learning and natural language processing. His developments showcase a commitment to enhancing customer interactions and improving operational efficiencies. With a strong foundation of patents and collaborative efforts, Ahlstrom continues to shape the future of technology in meaningful ways.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…