Prosecution Insights
Last updated: October 02, 2026

Examiner: SAEED, USMAAN

Tech Center 2100 • Art Units: 2100 2126 2128 2144 2145 2146 2147 2148 2166 2169

This examiner grants 51% of resolved cases

Analysis

Usmaan Saeed is an examiner in Tech Center 2100 and Art Unit 2100. The examiner has 150 resolved cases. The allowance rate for these matters is 51.3%. This metric provides a baseline for the likelihood of securing a patent grant during prosecution. The 51.3% rate is a primary data point for evaluating the probability of success in this specific area.

The interview lift is 47.5%. This value measures the increase in the probability of allowance following an interview. A lift of 47.5% indicates that engaging in a direct dialogue with the examiner can be a productive strategy. Practitioners should weigh this 47.5% figure when deciding whether to request a formal interview for their 150 resolved cases.

The median days to allowance is 1813. This figure represents the typical time span from filing to the issuance of a patent. A median of 1813 days informs the scheduling and budget expectations for applicants. This 1813 days duration is a factor in the overall prosecution timeline.

In the assigned Tech Center, the examiner's 51.3% allowance rate and 150 resolved cases define the current landscape. The interview lift serves as a tool for navigating the prosecution process toward a grant.

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

Performance Statistics

51.3%
Allow Rate
-3.7% vs TC avg
161
Total Applications
+47.5%
Interview Lift
1813
Avg Prosecution Days
Based on 150 resolved cases, 2023–2026

Rejection Statute Breakdown

16.9%
§101 Eligibility
9.9%
§102 Novelty
62.2%
§103 Obviousness
7.5%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
17424398 ESTIMATING LATENT REWARD FUNCTIONS FROM EXPERIENCES Final Rejection Mayo Foundation for Medical Education and Research
18046227 DECODER FOR DECODING WEIGHT PARAMETERS OF A NEURAL NETWORK, ENCODER, METHODS AND ENCODED REPRESENTATION USING PROBABILITY ESTIMATION PARAMETERS Final Rejection Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.
17532968 METHOD AND DEVICE FOR TRAINING SEARCH MODEL, METHOD FOR SEARCHING FOR TARGET OBJECT, AND STORAGE MEDIUM Non-Final OA BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

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