Cupertino, CA, United States of America

Manuel Enrique Benitez

This inventor holds 22 USPTO granted patents and 1 published patent application and 2 EPO patents, primarily in Data Storage Optimization. Top assignees: Hewlett-Packard Company, Google Inc., Numecent Holdings, Inc.. Active years: 1998-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Manuel Enrique Benitez. Retrieved from https://idiyas.com/inventor/manuel-enrique-benitez

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 22 

% Patents Active = 86.4


Average Co-Inventor Count = 2.6

ph-index = 11

Forward Citations = 1,140(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (1998 - 1999)
  • Cupertino, CA (US) (2000 - 2023)

Company Filing History:


Years Active: 1998-2025

Loading Chart...
Loading Chart...
Areas of Expertise:
Data Storage
Flash Translation Layer
Reinforcement Learning
Network Streaming
Performance Optimization
Instruction Profiling
Dynamic Code Translation
Garbage Collection
Branch Prediction
Trace Memory
Code Restructuring
Control Structures
22 patents (USPTO):Explore Patents

Title: The Innovative Journey of Manuel Enrique Benitez

Introduction: Manuel Enrique Benitez, an accomplished inventor based in Cupertino, CA, has made significant contributions to the field of technology through his 21 patents. His inventions primarily focus on enhancing data storage solutions, ensuring efficiency, and solving complex challenges in memory management.

Latest Patents: Among his notable inventions is the "Flash translation layer design using reinforcement learning." This patent addresses high write amplification in physical memory, aiming to enhance the longevity of memory storage and promote uniform wear. The design features a Flash Translation Layer (FTL) that manages the logical to physical mapping of data, utilizing reinforcement learning algorithms to optimize this mapping process. This includes employing a Bellman equation with q-learning techniques and deep neural networks to refine predictions related to data storage.

Another significant patent developed by Benitez involves a logical-to-logical translation map and a logical-to-physical translation map for data storage devices. This apparatus integrates a host device with a data storage device, where the host device maintains a translation map for converting logical sectors to logical erase units. The data storage device is equipped with numerous flash memory devices, efficiently structured to accommodate data management through advanced memory controllers.

Career Highlights: Benitez has a wealth of experience, having worked with leading technology firms, including Hewlett-Packard Company and Google Inc. His role at these industry giants allowed him to develop and refine his innovative ideas, propelling advancements in memory technology.

Collaborations: Throughout his career, Benitez has collaborated with notable figures in the industry, including Lacky V Shah and Daniel Arai. These partnerships have contributed to a fruitful exchange of ideas and innovation, fostering an environment that encourages technological breakthroughs.

Conclusion: Manuel Enrique Benitez stands out as a prominent inventor whose work continues to influence the realm of data management and storage technology. With his unwavering commitment to innovation, he remains a key figure in advancing memory technology, as evidenced by his impressive portfolio of patents and collaborations with respected industry professionals.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…