This inventor holds 1 USPTO granted patent. Top assignee: Uber Technologies, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Daniel Eynis: Patent Inventor in Data Anonymization.
Introduction
Daniel Eynis is an inventor associated with Seattle, Washington, and Uber Technologies, Inc. His patent work addresses methods for selectively anonymizing targeted data entries in datasets. The available information lists 1 patent associated with him.
Latest Patents
Eynis is named on the patent “Systems and Methods for Selectively Anonymizing Targeted Data Entries,” which describes techniques for identifying and anonymizing selected information within a dataset. The method parses a dataset into data entities, detects targeted entries, and assigns each a confidence score. It also identifies overlapping and contained entries, selects entries below a confidence threshold, and removes at least one targeted entry before converting the remaining targeted entries into anonymized data.
Career Highlights
Eynis’s listed patent reflects work on data processing and privacy, particularly the selective identification and anonymization of information. He is associated with Uber Technologies, Inc.
Collaborations
The provided information names Veli Engin Bozdag and Nimish Gupta as Eynis’s coworkers. Their inclusion indicates professional connections, but no specific joint patent or collaboration details were provided.
Conclusion
Daniel Eynis’s listed invention focuses on selectively anonymizing targeted data entries, combining detection, confidence scoring, and data transformation to support privacy-conscious dataset processing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile