Paramjit S Oberoi

Title: Paramjit S Oberoi: Innovator in Data Encoding Technologies

Introduction

Paramjit S Oberoi is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of data encoding, particularly in the development of methods for encoding and decoding variable-length data. With a total of 2 patents, his work has implications for improving data processing efficiency in various applications.

Latest Patents

Oberoi's latest patents focus on the encoding of variable-length data with unary formats. These embodiments provide methods and systems for encoding and decoding variable-length data, which may include techniques for encoding and decoding search engine posting lists. The patents detail various encoding formats, including group unary, packed unary, and packed binary formats. Some embodiments utilize single instruction multiple data (SIMD) instructions to perform parallel shuffle operations on encoded data during the decoding processes. Additionally, lookup tables may be employed to determine shuffle sequences, masks, and shifts used in decoding. Another patent addresses the decoding of variable-length data with group formats, reiterating the importance of efficient data handling in modern computing.

Career Highlights

Paramjit S Oberoi is currently associated with A9.com, Inc., where he continues to innovate in the field of data encoding. His work has been instrumental in enhancing the performance of data processing systems, making them more efficient and effective.

Collaborations

Oberoi has collaborated with notable professionals in his field, including Daniel Eric Rose and Alexander A Stepanov. These collaborations have likely contributed to the advancement of his research and the successful development of his patents.

Conclusion

Paramjit S Oberoi stands out as a key figure in the realm of data encoding technologies. His innovative patents and contributions to A9.com, Inc. reflect his commitment to advancing the efficiency of data processing systems.