Sunnyvale, CA, United States of America

Balakota Srinivas Vinnakota

This inventor holds 15 USPTO granted patents and 2 published patent applications, primarily in Natural Language Processing. Top assignees: Oracle International Corporation, Other. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Balakota Srinivas Vinnakota. Retrieved from https://idiyas.com/inventor/balakota-srinivas-vinnakota

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 = 93.3

Average Co-Inventor Count = 7.1

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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Areas of Expertise:
Natural Language Processing
Training Data Synthesis
Structured Query Language
Multi-Task Learning
Hyperparameter Tuning
Out-Of-Domain Detection
Chatbot Techniques
Noise Data Augmentation
Data Manufacturing Frameworks
Virtual Assistant
Content-Based Schema Linking
15 patents (USPTO):Explore Patents

Title: Innovations of Balakota Srinivas Vinnakota

Introduction

Balakota Srinivas Vinnakota is a prominent inventor based in Sunnyvale, California. He holds an impressive portfolio of 14 patents, showcasing his expertise in transforming natural language processing into structured query language. His innovative techniques have significantly contributed to advancements in the field of artificial intelligence.

Latest Patents

One of his latest patents focuses on transforming natural language to structured query language based on multi-task learning and joint training. This method involves accessing a first set of utterances with non-follow-up utterances and a second set with initial utterances and associated follow-up utterances. The model is trained through a joint training process that calculates losses for semantic parsing tasks and updates model parameters accordingly.

Another notable patent involves transforming natural language to structured query language based on scalable search and content-based schema linking. This technique preprocesses data assets for a natural language to logical form model. It includes classifying named entities within utterances, searching value lists in the database schema, and generating a structured data format for output.

Career Highlights

Balakota has worked with several notable companies, including Oracle International Corporation. His experience in these organizations has allowed him to refine his skills and contribute to significant projects in the tech industry.

Collaborations

Throughout his career, Balakota has collaborated with talented individuals such as Vishal Vishnoi and Mark Edward Johnson. These partnerships have fostered innovation and creativity in his work.

Conclusion

Balakota Srinivas Vinnakota's contributions to the field of natural language processing and structured query language are noteworthy. His patents reflect a deep understanding of technology and a commitment to advancing the industry.

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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