Sammamish, WA, United States of America

Yongsik Yoon

This inventor holds 18 USPTO granted patents and 2 published patent applications and 1 EPO patent, primarily in Database Query Processing. Top assignees: Amazon Technologies, Inc., Snowflake Inc.. Active years: 2020-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yongsik Yoon. Retrieved from https://idiyas.com/inventor/yongsik-yoon-2jjfi6cd

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

Calculating rank
USPTO Granted Patents = 18 

% Patents Active = 100.0


Average Co-Inventor Count = 5.7

ph-index = 3

Forward Citations = 65(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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Areas of Expertise:
Granular Selectivity Estimation
Hash Joins
Query Plan Caching
Machine Learning Inference
Materialized Views
Asynchronous Change Data Capture
Hybrid Query Execution
Transactional Scanning
Database Systems
Filtered Hash Table Generation
Consistent View Queries
Query Engine Types
18 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Yongsik Yoon

Introduction

Yongsik Yoon is a distinguished inventor based in Sammamish, Washington, known for his impactful contributions in the field of database technologies. With a remarkable portfolio of 16 patents, Yoon has significantly improved system performances and query optimization techniques, revolutionizing the way databases operate and manage data.

Latest Patents

Among Yoon's latest innovations is a patent focused on "Join Elimination". This technique identifies and removes unnecessary joins in a query plan node, enhancing performance in larger datasets by optimizing semantic query operations. It specifically addresses the issue of joins that do not filter or expand rows in results, thereby preventing performance degradation.

Another notable patent from Yoon is related to a "Query Plan Cache in Database Systems". This technology processes a given query, utilizing a compilation context to engage a compiler for an optimized compilation process. Through this, it performs lookups in a stored plan cache for precise matches, determining whether the query plan necessitates re-compilation based on data dependencies and property constraints.

Career Highlights

Yongsik Yoon has made significant strides in his career, having worked with notable companies like Amazon Technologies, Inc. and Snowflake Inc. His innovative mindset and detailed knowledge of database systems have paved the way for his success in these leading technology firms.

Collaborations

Throughout his career, Yoon has collaborated with innovative minds including Kamal Kant Gupta and Saileshwar Krishnamurthy. These collaborations have fostered a rich exchange of ideas and advancements, contributing to the development of effective technologies in database management and optimization.

Conclusion

Yongsik Yoon's contributions to the fields of database technologies and query optimization are profound and far-reaching. His patents not only enhance performance but also set new standards for efficiency within database systems. As he continues to innovate, Yoon solidifies his position as a vital figure in the realm of technology and invention.

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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