Company Filing History:
Years Active: 2023
Title: Manisha Mukherjee: Innovator in Source Code Retrieval
Introduction
Manisha Mukherjee is a talented inventor based in San Jose, California. She has made significant contributions to the field of technology, particularly in the area of source code retrieval. Her innovative approach combines deep learning techniques with natural language processing to enhance the efficiency of code suggestion systems.
Latest Patents
Manisha holds a patent for a method of source code retrieval. This method involves obtaining training code and extracting features from it. The extracted features are then mapped to natural language code vectors using a deep neural network. The system can receive a natural language search query requesting source-code suggestions, which is also mapped to a natural language search vector. By comparing the natural language search vector with the natural language code vectors, the system can suggest relevant source code in response to the query.
Career Highlights
Manisha is currently employed at Fujitsu Corporation, where she continues to develop her innovative ideas. Her work has garnered attention for its potential to streamline coding processes and improve developer productivity. With her expertise, she is paving the way for advancements in software development.
Collaborations
Manisha has collaborated with notable colleagues, including Mehdi Bahrami and Wei-Peng Chen. These partnerships have allowed her to enhance her research and contribute to the development of cutting-edge technologies.
Conclusion
Manisha Mukherjee is a remarkable inventor whose work in source code retrieval exemplifies the intersection of technology and innovation. Her contributions are shaping the future of software development and enhancing the capabilities of coding systems.