Listed by the USPTO as SHAH, BHAVIN D
Tech Center 3600 • Art Units: 2121 3693 3694
This examiner grants 42% of resolved cases
SHAH, BHAVIN D is assigned to Tech Center 3600 and Art Unit 2121, with 153 resolved cases. The allowance rate is 41.8%, and the median time to allowance is 1069 days. The interview lift is 23.0%, showing a positive association between interviews and allowance outcomes, but not one that offsets the relatively low allowance result in this record. No art unit comparison is available for either allowance or pendency.
The docket includes Capital One Services LLC, American Express Travel Related Services Company, Inc., and State Farm Mutual Automobile Insurance Company. The leading firms are Dickinson Wright PLLC - Washington DC, GREENBERG & LIEBERMAN, LLC, and KDW Firm PLLC (1988). Practitioners should prepare for a prosecution path that may require careful claim positioning and sustained response work. Interviews can assist, but the record does not suggest relying on them alone.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18917248 | SYSTEMS AND METHODS FOR FRAUD REDUCTION THROUGH MULTI-BUSINESS AUTHENTICATION | Final Rejection | Capital One Services, LLC |
| 18303306 | CLIENT-SIDE TRANSACTION MODIFICATIONS | Final Rejection | American Express Travel Related Services Company, Inc. |
| 18124467 | INSURING NFTS | Final Rejection | STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY |
| 18919849 | DEVICES, SYSTEMS, METHODS, AND NON-TRANSITORY COMPUTER-READABLE MEDIA FOR INDIVIDUAL IDENTITY AFFIRMATION | Non-Final OA | MASTERCARD INTERNATIONAL INCORPORATED |
| 18750787 | ARTIFICIAL INTELLIGENCE BASED SYSTEMS AND METHODS FOR EARLY DETECTION OF ANOMALOUS BEHAVIOR AT OFF-NETWORK ACCOUNTS | Final Rejection | MASTERCARD INTERNATIONAL INCORPORATED |
| 18825610 | ARTIFICIAL INTELLIGENCE FOR FRAUD DETECTION | Non-Final OA | Fidelity Information Services, LLC |
| 19149948 | System, Method, and Computer Program Product for Multi Account Access Based on a Single Credential | Non-Final OA | Visa International Service Association |
| 18122482 | MACHINE-LEARNING-BASED BUDGET UTILIZATION PREDICTOR | Final Rejection | SAP SE |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy41.8% of resolved applications examined by Bhavin D Shah were allowed (153 resolved cases), compared with 32.0% across Art Unit 2121 over the last five years.
This examiner's interview lift is +23.0 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Bhavin D Shah took 1,069 days on average from filing to allowance.
Bhavin D Shah examines applications in Art Unit 2121 in Tech Center 3600 (Transportation, E-Commerce & Mechanical Systems).
