Toronto, Canada

Huan MA

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Maplebear Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Huan MA. Retrieved from https://idiyas.com/inventor/huan-ma-yap80wui

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Huan MA: Inventor of a Hybrid AI Chat System

Introduction

Huan MA is an inventor based in Toronto, Canada, and is associated with Maplebear Inc. His work includes a patent for a hybrid artificial intelligence chat system that routes user queries between language models and decision-tree flows.

Latest Patents

MA is named on 1 patent: “Hybrid artificial intelligence chat system with contextual routing between language model and decision tree flows.” The system uses a routing large language model to infer a user’s intent from a query and its context. It then selects an appropriate response model from predefined decision-tree flows and large language model chatbots, uses that model to generate a response, and delivers the response to the user’s device.

Career Highlights

MA’s patent describes an approach that combines structured decision-tree interactions with the flexible conversational capabilities of large language models. This contextual routing is designed to match a query with a suitable response method.

Collaborations

The provided information identifies Riddhima Sejpal and Jatin Jain as MA’s coworkers. The patent is associated with Maplebear Inc.

Conclusion

Huan MA’s patented work focuses on combining decision trees and large language models to route queries and provide context-aware responses.

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]
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