Mountain View, CA, United States of America

Achut Reddy


Average Co-Inventor Count = 3.0

ph-index = 3

Forward Citations = 91(Granted Patents)


Location History:

  • San Jose, CA (US) (1996)
  • Mountain View, CA (US) (2001 - 2002)

Company Filing History:


Years Active: 1996-2002

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3 patents (USPTO):Explore Patents

Title: Achut Reddy: Innovator in Computer Program Optimization

Introduction

Achut Reddy is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of computer program optimization, holding a total of 3 patents. His work focuses on enhancing the efficiency of computer programs through innovative methods and apparatuses.

Latest Patents

One of Achut Reddy's latest patents is a method and apparatus for automatically optimizing the execution of a computer program. This invention can be utilized to automatically determine the necessary files required to optimally execute a computer program to a desired state. In one embodiment, the invention automatically creates an optimized file containing the files essential for reaching the desired state of a computer program. Additionally, one or more remainder files may also be generated. A remainder file consists of the files that may be utilized by the computer program after achieving the desired state of execution.

Career Highlights

Achut Reddy is currently employed at Sun Microsystems, Inc., where he continues to develop innovative solutions in the realm of computer programming. His expertise and dedication to his work have made him a valuable asset to the company.

Collaborations

Achut has collaborated with several talented individuals, including Greg White and Su Chan. These collaborations have contributed to the advancement of his projects and the overall success of his innovations.

Conclusion

Achut Reddy's contributions to computer program optimization through his patents and work at Sun Microsystems, Inc. highlight his role as a significant innovator in the technology sector. His inventions continue to pave the way for more efficient computing solutions.

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