Akhilesh Deepak Gotmare

Title: Akhilesh Deepak Gotmare: Innovator in Semantic Code Search and Program Synthesis

Introduction

Akhilesh Deepak Gotmare is a prominent inventor based in Singapore, SG. He has made significant contributions to the fields of semantic code search and program synthesis. With a total of 5 patents to his name, his work is recognized for its innovative approaches and practical applications.

Latest Patents

Akhilesh's latest patents include "Systems and methods for semantic code search." This invention provides a contrastive learning framework that leverages hard negative examples mined globally from the entire training corpus for a given query. The goal is to improve the quality of code and natural language representations. Specifically, similar examples from the training corpus are extracted and used as hard negatives in an online manner during training while keeping the minibatch construction random. Another notable patent is "Systems and methods for program synthesis." This invention offers a reinforcement learning-based framework that engages pretrained language models (LMs) for program synthesis tasks. The framework adopts a training strategy that optimizes pretrained LMs for program synthesis tasks in an actor-critic approach.

Career Highlights

Akhilesh has worked with notable companies such as Salesforce, Inc. and Salesforce.com, Inc. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge projects in technology and innovation.

Collaborations

Akhilesh has collaborated with talented individuals in his field, including Chu Hong Hoi and Hung Le. These collaborations have further enriched his work and expanded his impact in the industry.

Conclusion

Akhilesh Deepak Gotmare is a distinguished inventor whose work in semantic code search and program synthesis showcases his innovative spirit and technical expertise. His contributions continue to influence the landscape of technology and programming.