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Shafiq Rayhan Joty

USPTO Granted Patents = 12 (Patent Applications = 5)

Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 7(Granted Patents)

Company Filing History:

Years Active: 2022-2025

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12 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12450474 - Systems and methods for numerical reasoning by a partially supervised numeric reasoning module network (2025-10-21),

2. 12450428 - Systems and methods for semantic code search (2025-10-21),

3. 12217033 - Systems and methods for code understanding and generation (2025-02-04),

4. 12204857 - Systems and methods for text classification using label modular prompts (2025-01-21),

5. 12112138 - Systems and methods for an end-to-end evaluation and testing framework for task-oriented dialog systems (2024-10-08),

6. 11782686 - Systems and methods for code understanding and generation (2023-10-10),

7. 11755847 - Systems and methods for code-mixing adversarial training (2023-09-12),

8. 11640505 - Systems and methods for explicit memory tracker with coarse-to-fine reasoning in conversational machine reading (2023-05-02),

9. 11615240 - Systems and methods for a transformer network with tree-based attention for natural language processing (2023-03-28),

10. 11580975 - Systems and methods for response selection in multi-party conversations with dynamic topic tracking (2023-02-14),

11. 11562147 - Unified vision and dialogue transformer with BERT (2023-01-24),

12. 11256754 - Systems and methods for generating natural language processing training samples with inflectional perturbations (2022-02-22),

Title: The Innovative Mind of Shafiq Rayhan Joty

Introduction

Shafiq Rayhan Joty is a prominent inventor based in Singapore, known for his significant contributions to the field of technology and artificial intelligence. With an impressive portfolio of 10 patents, Joty is dedicated to advancing the understanding and generation of code, as well as enhancing text classification methods.

Latest Patents

Joty's latest patents showcase his cutting-edge work in code generation and understanding. One such patent, titled "Systems and Methods for Code Understanding and Generation," describes a model that leverages a Transformer-based encoder-decoder framework. This innovative model is designed to derive generic representations for programming languages (PL) and natural languages (NL) through pre-training on an unlabeled code corpus. It aims to support various code-related downstream tasks by fine-tuning specific features.

Another notable patent is entitled "Systems and Methods for Text Classification Using Label Modular Prompts." This invention provides a novel approach to training a prompt generator for text classification. By generating a set of labels from the initial training dataset and employing a pretrained language model, the system is able to enhance the task outputs based on defined class labels, showcasing Joty's ability to advance machine learning techniques.

Career Highlights

Shafiq Rayhan Joty has worked with esteemed companies, most notably Salesforce.com, Inc. and Salesforce, Inc. His experience in these corporations has endowed him with practical insights and skills in developing advanced technological solutions.

Collaborations

Throughout his career, Joty has collaborated with talented individuals such as Chu Hong Hoi and Yue Wang. These partnerships highlight the collaborative spirit that drives innovation within the tech industry and amplify the effectiveness of his inventions.

Conclusion

Shafiq Rayhan Joty represents the forefront of innovation in the realm of technology and artificial intelligence. His dedicated research and development efforts are evidenced by his extensive patent portfolio, which continues to influence the industry and inspire future generations of inventors.

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