Listed by the USPTO as KHAN, SHAHID K
Tech Center 4100 • Art Units: 2146 2175 2178 4100
This examiner grants 75% of resolved cases
KHAN, SHAHID K is a USPTO patent examiner in tech center 4100 and art unit 2146. The profile includes 412 resolved cases, with an allowance rate of 74.8% and a median of 1064 days to allowance. Interview lift is 15.3%, reflecting a higher allowance outcome for interview-associated cases than for the corresponding cases without interviews.
The recorded companies are NVIDIA Corporation, Canon Inc., and Google LLC. The leading firms are KHMRG (NVIDIA), ALSTON & BIRD LLP, and CAESAR RIVISE, PC. Counsel can use the allowance history as a reference when assessing claim presentation and amendment options. The interview figure supports considering examiner dialogue, while the median timing provides a planning reference for prosecution management and client communications.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18691568 | METHODS AND DEVICES RELATED TO EXPERIENCE-APPROPRIATE EXTENDED REALITY NOTIFICATIONS | Non-Final OA | Telefonaktiebolaget LM Ericsson (publ) |
| 18104506 | CIRCULAR-BUFFER FOR GENERATING MACHINE LEARNING ESTIMATES OF STREAMING OBSERVATIONS IN REAL TIME | Non-Final OA | ORACLE INTERNATIONAL CORPORATION |
| 17804082 | Regression and Time Series Forecasting | Final Rejection | Google LLC |
| 17784720 | METHOD AND DATA PROCESSING DEVICE FOR PROCESSING GENETIC DATA | Final Rejection | Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e. V. |
| 18302701 | ADAPTATION OF TASK PERFORMABLE BY PRE-TRAINED MODEL INTO PARALLEL HARDWARE | Final Rejection | Microsoft Technology Licensing, LLC |
| 18644055 | SOFT PROMPT OPTIMIZATION | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18661502 | USING TENSORS IN PORTIONS OF A NEURAL NETWORK | Non-Final OA | NVIDIA Corporation |
| 17679985 | TENSOR MODIFICATION BASED ON PROCESSING RESOURCES | Non-Final OA | NVIDIA Corporation |
| 17394842 | SELECTING TRAINING DATA FOR NEURAL NETWORKS | Non-Final OA | NVIDIA Corporation |
| 18302154 | Energy-Efficient Recurrent Neural Network Accelerator | Final Rejection | Taiwan Semiconductor Manufacturing Company, Ltd. |
| 18306048 | CONTENT VELOCITY AND HYPER-PERSONALIZATION USING GENERATIVE AI | Non-Final OA | Adobe Inc. |
| 18391455 | RANGE BASED HARDWARE OPTIMIZATION OF NEURAL NETWORK SYSTEM AND RELATED METHOD | Non-Final OA | UNIVERSITY OF SOUTH FLORIDA |
| 18416773 | GRADIENT COMPUTATION IN HYBRID DIGITALLY TIED ANALOG BLOCKS WITH ARBITRARY CONNECTIVITY BY EQUILIBRIUM PROPAGATION | Non-Final OA | OpenAI Opco, LLC |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy74.8% of resolved applications examined by Shahid K Khan were allowed (412 resolved cases), compared with 71.7% across Art Unit 2146 over the last five years.
This examiner's interview lift is +15.3 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Shahid K Khan took 1,064 days on average from filing to allowance.
Shahid K Khan examines applications in Art Unit 2146 in Tech Center 4100.
