Listed by the USPTO as GRUSZKA, DANIEL PATRICK
Tech Center 4100 • Art Units: 2121 2147 3628 4100
This examiner grants 33% of resolved cases
Daniel Patrick Gruszka is a USPTO patent examiner in tech center 4100 and art unit 2121. The profile contains 6 resolved cases, an allowance rate of 33.3%, and a median of 1527 days to allowance. The interview lift is 66.7%, indicating a strong measured association between interviews and allowance outcomes. Because only 6 cases are resolved, the figures are preliminary, but they identify interview practice as a potentially important issue for applications in this record.
The listed companies are Microsoft Technology Licensing, LLC, Google LLC, and Embed Security Inc. The leading firms are ALCE PLLC, BIRCH STEWART KOLASCH & BIRCH, LLP, and Cantor Colburn LLP. These organizations provide context for the software and security technologies represented in the available cases.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17767269 | Event Detection in a Data Stream | Final Rejection | Telefonaktiebolaget LM Ericsson (publ) |
| 18240954 | Corrective Reward Optimization for Sequential Labeling | Final Rejection | Google LLC |
| 18178684 | ACTIVATION FUNCTION FOR HOMOMORPHICALLY-ENCRYPTED NEURAL NETWORKS | Final Rejection | Intel Corporation |
| 18802731 | HUMAN COLLABORATIVE AGENT DEVICE, SYSTEM, MULTI-AGENT LEARNING METHOD, AND, STORAGE MEDIUM | Non-Final OA | Mitsubishi Electric Corporation |
| 18013894 | PROVIDING AN ALARM RELATING TO ANOMALY SCORES ASSIGNED TO INPUT DATA METHOD AND SYSTEM | Final Rejection | SIEMENS AKTIENGESELLSCHAFT |
| 18752058 | ATTENTION-BASED DATA-DRIVEN ATTRIBUTION | Non-Final OA | Microsoft Technology Licensing, LLC |
| 18510407 | Producing a Reduced-Size Model by Explanation Tuning | Non-Final OA | Microsoft Technology Licensing, LLC |
| 17564002 | GENERATING SYNTHETIC TRAINING DATA FOR PERCEPTION MACHINE LEARNING MODELS USING DATA GENERATORS | Final Rejection | VOLKSWAGEN AKTIENGESELLSCHAFT |
| 17660144 | USING HEADER MATRICES FOR FEATURE IMPORTANCE ANALYSIS IN MACHINE LEARNING MODELS | Non-Final OA | Dell Products L.P. |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy33.3% of resolved applications examined by Daniel Patrick Gruszka were allowed (6 resolved cases), compared with 32.0% across Art Unit 2121 over the last five years.
This examiner's interview lift is +66.7 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Daniel Patrick Gruszka took 1,527 days on average from filing to allowance.
Daniel Patrick Gruszka examines applications in Art Unit 2121 in Tech Center 4100.
