Company Filing History:
Years Active: 2023
Title: Innovations by Nitima Singhal
Introduction
Nitima Singhal is a prominent inventor based in Faridabad, India. She has made significant contributions to the field of machine learning and programming code transformations. Her innovative work has led to the development of a unique system that enhances the efficiency of code execution across different platforms.
Latest Patents
Nitima Singhal holds a patent for a machine learning (ML) powered programming code transformation system. This system transforms source programming code developed using a source library for execution on a source platform into remediated code suitable for execution on a target platform. The invention utilizes metadata extracted from the source programming code to detect the source programming language, source libraries, and the source platform. Additionally, the metadata enables the modularization of the source programming code based on functionality and identifies nodes in a communication network to execute various source code modules. A similarity map is generated to map the source libraries to the target libraries, allowing for the identification and remediation of source code modules that are incompatible with the target platform.
Career Highlights
Nitima is currently employed at Accenture Global Solutions Limited, where she continues to innovate and contribute to advancements in technology. Her work is characterized by a strong focus on integrating machine learning with programming practices to improve software development processes.
Collaborations
Nitima collaborates with talented professionals in her field, including her coworkers Srikanth G Rao and Arunabh Sinha. Their combined expertise fosters a creative environment that drives innovation and enhances project outcomes.
Conclusion
Nitima Singhal's contributions to machine learning and programming code transformations exemplify her commitment to innovation in technology. Her patent reflects a significant advancement in the field, showcasing her ability to bridge the gap between different programming environments.