Pranav Garg

Person

Jersey City, NJ, US

People

Patents Grantslast 30 patents

Information Patent Grant
Hierarchical clustering for coding practice discovery
- Patent number 12,118,350
- Issue date Oct 15, 2024
- Amazon Technologies, Inc.
- Rajdeep Mukherjee
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Rule creation for code analysis
- Patent number 12,045,609
- Issue date Jul 23, 2024
- Amazon Technologies, Inc.
- Neela Sawant
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Visual query language for code review rules
- Patent number 12,007,877
- Issue date Jun 11, 2024
- Amazon Technologies Inc.
- Pranav Garg
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Example-based synthesis of rules for detecting violations of softwa...
- Patent number 11,914,993
- Issue date Feb 27, 2024
- Amazon Technologies, Inc.
- Pranav Garg
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Scoring events using noise-contrastive estimation for anomaly detec...
- Patent number 11,593,639
- Issue date Feb 28, 2023
- Amazon Technologies, Inc.
- Pranav Garg
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Machine learning-based program analysis using synthetically generat...
- Patent number 11,593,675
- Issue date Feb 28, 2023
- Amazon Technologies, Inc.
- Pranav Garg
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Customizable service for recommendations on source code quality
- Patent number 11,392,844
- Issue date Jul 19, 2022
- Amazon Technologies, Inc.
- Srinivasan Sengamedu Hanumantha Rao
- G06 - COMPUTING CALCULATING COUNTING

Pranav Garg

Person

Patents Grantslast 30 patents

Hierarchical clustering for coding practice discovery

Rule creation for code analysis

Visual query language for code review rules

Example-based synthesis of rules for detecting violations of softwa...

Scoring events using noise-contrastive estimation for anomaly detec...

Machine learning-based program analysis using synthetically generat...

Customizable service for recommendations on source code quality