Mukul Singh

Title: Mukul Singh: Innovator in String Data Error Detection and Repair

Introduction

Mukul Singh is a notable inventor based in Delhi, India. He has made significant contributions to the field of data processing, particularly in the area of string data error detection and repair. His innovative approach addresses both syntactic and semantic errors in string data, showcasing his expertise in this specialized domain.

Latest Patents

Mukul Singh holds a patent for a method titled "String data error detection and repair." This invention performs fully unsupervised string error detection and repair for strings that contain both syntactic and semantic errors. The method includes learning a regular-expression-based pattern that characterizes a predefined fraction of a set of string data values. It also involves identifying and masking a semantic substring, deriving edits to repair a string containing the semantic substring, and replacing a mask value with a replacement substring that conforms to the pattern. Some embodiments of this invention utilize a language model and include a pattern learner, one or more learned significant patterns, and a repair engine. Additionally, the invention exploits program execution information to generate patterns when significant patterns are not initially found.

Career Highlights

Mukul Singh is currently associated with Microsoft Technology Licensing, LLC, where he applies his skills and knowledge in technology innovation. His work at Microsoft has allowed him to contribute to cutting-edge advancements in data processing and error detection methodologies.

Collaborations

Mukul has collaborated with notable colleagues such as José Pablo Cambronero Sánchez and Sumit Gulwani. These collaborations have further enriched his work and have led to advancements in the field of data error detection.

Conclusion

Mukul Singh's contributions to string data error detection and repair highlight his innovative spirit and technical expertise. His patent reflects a significant advancement in the field, demonstrating the importance of addressing data integrity in modern technology.