Prosecution Insights
Last updated: October 01, 2026

Examiner: AHMED, SAMIR ANWAR

Tech Center 3700 • Art Units: 2624 2665 3784

This examiner grants 88% of resolved cases

Analysis

Samir Anwar Ahmed is an examiner in Tech Center 3700, working within Art Unit 2624. With 548 resolved cases, the examiner maintains a high allowance rate of 87.8 percent. This suggests an efficient path to grant for most applications. The high volume of cases indicates a well-established and predictable examination style. Practitioners can approach Art Unit 2624 with confidence given the 87.8 percent success rate.

The interview lift is 12.4 percent, showing that while interviews are helpful, the baseline allowance rate is already quite high. The median days to allowance is 913, which is relatively fast compared to other units. Applicants can expect a resolution in a reasonable timeframe. The combination of an 87.8 percent allowance rate and a 913 day median timeline makes this a favorable environment for patent prosecution. Utilizing the 12.4 percent lift can further streamline the process, as the 548 resolved cases already show a strong tendency toward allowance.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Performance Statistics

87.8%
Allow Rate
+17.8% vs TC avg
556
Total Applications
+12.4%
Interview Lift
913
Avg Prosecution Days
Based on 550 resolved cases, 2023–2026

Rejection Statute Breakdown

17.6%
§101 Eligibility
15.3%
§102 Novelty
25.6%
§103 Obviousness
31.6%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
18949388 TEMPORALLY CONSISTENT POSITION ESTIMATION REFINEMENT FOR AERIAL REFUELING Non-Final OA The Boeing Company
18947495 OPTICAL INFORMATION TRAINING AND GENERATION APPARATUS, OPTICAL INFORMATION TRAINING AND GENERATION METHOD, AND PROGRAM Non-Final OA NEC Corporation
18873965 INFORMATION PROCESSING METHOD, INFORMATION PROCESSING APPARATUS, AND MICROSCOPE SYSTEM Non-Final OA SONY GROUP CORPORATION
18856807 MULTI-MODAL MACHINE LEARNING TO DETERMINE RISK STRATIFICATION Non-Final OA Sloan-Kettering Institute for Cancer Research

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