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For the Inventor, By the Inventor

Milpitas, CA, United States of America

Sanjika Hewavitharana

This inventor holds 13 USPTO granted patents and 5 published patent applications, primarily in Machine Learning. Top assignee: Ebay, Incorporated. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sanjika Hewavitharana. Retrieved from https://idiyas.com/inventor/sanjika-hewavitharana

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

Calculating rank
USPTO Granted Patents = 13 

% Patents Active = 92.3

Average Co-Inventor Count = 4.2

ph-index = 1

Forward Citations = 9(Granted Patents)


Location History:

  • San Jose, CA (US) (2020 - 2023)
  • Milpitas, CA (US) (2019 - 2024)

Company Filing History:

goldMedal13 out of 3,309 
 
Ebay, Incorporated
 patents

Years Active: 2019-2026

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Areas of Expertise:
Embedding Learning
Video Analysis
Machine Translation
Query Segmentation
Cross-Lingual Listings
Dynamic Topic Adaptation
Transactional Feedback
Conversation Detection
13 patents (USPTO):Explore Patents
1. 12592059 - Global embedding learning from different modalities (2026-03-31),
2. 12417487 - Systems, method, and computer storage medium for creating listing for items for sale in an electronic marketplace based on video analysis (2025-09-16),
3. 12020701 - Detection of mission change in conversation (2024-06-25),
4. 11853703 - Processing transactional feedback (2023-12-26),
5. 11836776 - Detecting cross-lingual comparable listings (2023-12-05),
6. 11640436 - Methods and systems for query segmentation (2023-05-02),
7. 11561975 - Dynamic topic adaptation for machine translation using user session context (2023-01-24),
8. 11526919 - Detecting cross-lingual comparable listings (2022-12-13),
9. 11392598 - Applying a quantitative range for qualitative terms (2022-07-19),
10. 11170769 - Detection of mission change in conversation (2021-11-09),
11. 10990764 - Processing transactional feedback (2021-04-27),
12. 10540357 - Dynamic topic adaptation for machine translation using user session context (2020-01-21),
13. 10319019 - Method, medium, and system for detecting cross-lingual comparable listings for machine translation using image similarity (2019-06-11),

Title: Innovations of Sanjika Hewavitharana

Introduction

Sanjika Hewavitharana is a prominent inventor based in Milpitas, California. He has made significant contributions to the field of technology, holding a total of 12 patents. His work primarily focuses on enhancing user experiences in electronic marketplaces and intelligent assistant systems.

Latest Patents

One of his latest patents is titled "Systems, method, and computer storage medium for creating listing for items for sale in an electronic marketplace based on video analysis." This invention involves a system that assists users in listing items for sale by analyzing video streams. The system extracts images and attributes from the video, generating listings for the respective items to be displayed to the user. Another notable patent is "Detection of mission change in conversation." This patent presents methods and systems for detecting changes in user missions during conversations with intelligent assistants. By applying a machine-learned model, the system determines when a user’s intent shifts, allowing for more relevant responses.

Career Highlights

Sanjika is currently employed at eBay, Incorporated, where he continues to innovate and develop new technologies. His work has significantly impacted the way users interact with electronic marketplaces and intelligent systems.

Collaborations

Some of his notable coworkers include Hassan Sawaf and Ajinkya Gorakhnath Kale, who contribute to the collaborative environment that fosters innovation at eBay.

Conclusion

Sanjika Hewavitharana's contributions to technology through his patents demonstrate his commitment to improving user experiences in digital marketplaces and intelligent systems. His innovative spirit continues to drive advancements in the field.

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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