Listed by the USPTO as AHMED, SYED RAYHAN
Tech Center 2100 • Art Units: 2126 2168
This examiner grants 79% of resolved cases
AHMED, SYED RAYHAN works in Tech Center 2100 and Art Unit 2126. The examiner has 24 resolved cases, an allowance rate of 79.2%, and a median of 1510 days to allowance. Interviews are associated with a 21.7% lift in allowance outcomes. The limited case base requires caution, but the recorded interview signal supports considering examiner engagement in individual cases.
The listed companies are International Business Machines Corporation, Robert Bosch GmbH, and Google LLC. The listed firms are Harrity & Harrity, LLP, NORTON ROSE FULBRIGHT US LLP, and NovoTechIP International PLLC. The extended median timeline should be built into client expectations and prosecution budgeting while counsel evaluates the underlying office-action record.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18209024 | EFFICIENT DATA DISTRIBUTION PRESERVING TRAINING PARADIGM | Non-Final OA | Oracle International Corporation |
| 17738555 | DEVICE AND COMPUTER IMPLEMENTED METHOD FOR AUTOMATICALLY GENERATING NEGATIVE SAMPLES FOR TRAINING KNOWLEDGE GRAPH EMBEDDING MODELS | Final Rejection | Robert Bosch GmbH |
| 18313189 | CROSS-PLATFORM DISTILLATION FRAMEWORK | Final Rejection | Google LLC |
| 18070923 | METHODS FOR TRAINING AND USING AN ARTIFICIAL NEURAL NETWORK TO IDENTIFY A PROPERTY VALUE, AND SYSTEM THEREOF | Non-Final OA | ORANGE |
| 18159598 | TRAINING MACHINE LEARNING MODELS TO PERFORM ALIGNER DAMAGE PREDICTION | Non-Final OA | Align Technology, Inc. |
| 18733403 | ACCURATE AND SCALABLE APPROXIMATE NEAREST NEIGHBOR SEARCH (ANNS)-BASED TRAINING OF EXTREME CLASSIFIERS | Non-Final OA | Microsoft Technology Licensing, LLC |
| 18526560 | AUTOMATED ATTRIBUTE-BASED MACHINE LEARNING MODEL SELECTION | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18454882 | TRAINING A CONTEXT-AWARE CHATBOT | Final Rejection | International Business Machines Corporation |
| 18754007 | INTEGRATING EVOLUTIONARY ALGORITHMS AND REINFORCEMENT LEARNING | Non-Final OA | NVIDIA Corporation |
| 18194336 | METHOD AND APPARATUS FOR JOINT TRAINING LOGISTIC REGRESSION MODEL | Final Rejection | ALIPAY (HANGZHOU) INFORMATION TECHNOLOGY CO., LTD. |
| 17592186 | ENHANCING NEURAL-BASED PREDICTION OF MULTI-DIMENSIONAL DATA VIA INFLUENCE AND DATA AUGMENTATION | Final Rejection | ADOBE INC. |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy79.2% of resolved applications examined by Syed Rayhan Ahmed were allowed (24 resolved cases), compared with 35.2% across Art Unit 2126 over the last five years.
This examiner's interview lift is +21.7 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Syed Rayhan Ahmed took 1,510 days on average from filing to allowance.
Syed Rayhan Ahmed examines applications in Art Unit 2126 in Tech Center 2100 (Computing & Software).
