Examiner Satish Rampuria has allowed 997 of 1,141 decided applications (87%) in Computer Architecture, Software, and Information Security.
Satish Rampuria maintains a public record across 3 art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Over 1,141 disposed applications, his allowance rate is 87%. This reflects 997 allowed applications and 144 abandoned applications. The allowance rate ranges from 77% to 96% across his art units, indicating variation in outcomes by subject-matter area within TC 2100. These figures describe his historical record and are not predictions for any specific application.
A pooled record aggregates data across multiple art units, obscuring variation by individual technology area. The overall allowance rate of 87% represents the examiner's past dispositions across all his assigned art units combined. This aggregate figure describes historical performance only and is not a prediction of the outcome for any particular application or art unit. Individual art-unit records may show different allowance rates.
These are aggregate statistics from this examiner's past public record — not predictions about any specific application. The per-art-unit figures below show how the record varies across art units. Our approach to patent prosecution →
Each section benchmarks this examiner against that art unit's average. Figures are this examiner's own public record within the art unit; the overall rate above pools them.
Primarily examines software engineering, and error detection, correction, and monitoring.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 510 decided applications with an interview and 126 without.
Primarily examines software engineering, and error detection, correction, and monitoring.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 281 decided applications with an interview and 215 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Methodology. This page pools every art unit in which Examiner Satish Rampuria has a public record within Technology Center 2100. Statistics are computed from publicly available USPTO records, refreshed on a recurring schedule. This page's data was last updated June 25, 2026. The overall allowance rate is total allowed divided by total decided applications (allowed plus abandoned) across all art units — not an average of the per-art-unit rates; pending applications are excluded. Figures are rounded for display. Pooled sample: 1,168 applications.
Lynch LLP is not affiliated with, endorsed by, or sponsored by the United States Patent and Trademark Office. Examiner statistics are derived from publicly available USPTO data.
These statistics describe past examiner behavior and do not predict the outcome of any particular application. Past results do not guarantee future outcomes. Where this page compares an examiner's allowance rate to an art-unit average, that comparison is a factual description of the public record, not a characterization of any individual examiner's conduct or competence.
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