Tejas Nagendra Babu Nama

This inventor holds 15 USPTO granted patents and 6 published patent applications. Top assignee: Sambanova Systems, Inc.. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tejas Nagendra Babu Nama. Retrieved from https://idiyas.com/inventor/tejas-nagendra-babu-nama

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

USPTO Granted Patents = 15 (Patent Applications = 6)

% Patents Active = 100.0

Average Co-Inventor Count = 10.0

ph-index = 4

Forward Citations = 26(Granted Patents)

Company Filing History:

15 out of 221

Sambanova Systems, Inc.

patents

Years Active: 2021-2026

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15 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12541669 - Lossless tiling in convolution networks—section boundaries (2026-02-03),

2. 12511252 - Lossless tiling in convolution networks—tiling configuration between two sections (2025-12-30),

3. 12488218 - Lossless tiling in convolution networks—padding and re-tilling at section boundaries (2025-12-02),

4. 12321843 - Lossless tiling in convolution networks—data flow logic (2025-06-03),

5. 12210953 - Lossless tiling in convolution networks—section cuts (2025-01-28),

6. 12112250 - Lossless tiling in convolution networks—resetting overlap factor to zero at section boundaries (2024-10-08),

7. 12079156 - Lossless tiling in convolution networks—materialization of tensors (2024-09-03),

8. 12001936 - Lossless tiling in convolution networks—graph metadata generation (2024-06-04),

9. 11995529 - Lossless tiling in convolution networks—tiling configuration for a sequence of sections of a graph (2024-05-28),

10. 11934343 - Lossless tiling in convolution networks-backward pass (2024-03-19),

11. 11263170 - Lossless tiling in convolution networks—padding before tiling, location-based tiling, and zeroing-out (2022-03-01),

12. 11250061 - Lossless tiling in convolution networks—read-modify-write in backward pass (2022-02-15),

13. 11232360 - Lossless tiling in convolution networks—weight gradient calculation (2022-01-25),

14. 11227207 - Lossless tiling in convolution networks—section boundaries (2022-01-18),

15. 11195080 - Lossless tiling in convolution networks—tiling configuration (2021-12-07),

Title: **Tejas Nagendra Babu Nama: A Pioneer in Data Processing Innovations**

Introduction

Tejas Nagendra Babu Nama is an accomplished inventor based in Sunnyvale, California, renowned for his significant contributions to the field of data processing. With a remarkable portfolio of 12 patents, Tejas has developed innovative solutions that enhance the efficiency of convolution networks.

Latest Patents

Among his most recent inventions, Tejas has introduced groundbreaking patents titled "Lossless Tiling in Convolution Networks—Data Flow Logic" and "Lossless Tiling in Convolution Networks—Section Cuts." The first patent details a data processing system that integrates memory and reconfigurable processors, designed to execute a series of subgraphs within a graph. This system efficiently manages data by storing a tiled output from a preceding subgraph as a composed input, streamlining the processing for subsequent subgraphs. The latter patent focuses on partitioning the graph into subgraphs and executing graph cuts between layers, allowing intricate processing of tensors generated from sets of tiles. Configuration files are also created for runtime logic execution, showcasing Tejas's forward-thinking approach in optimizing data flow within processing networks.

Career Highlights

Tejas currently works at Sambanova Systems, Inc., a company that is leading advancements in data processing technology. His role involves leveraging his expertise to push forward innovative solutions that are shaping the future of computation. His impressive collection of patents signifies his deep understanding of the complexities in data processing and network efficiency.

Collaborations

Throughout his career, Tejas has collaborated with notable colleagues such as Ram Sivaramakrishnan and Raghu Prabhakar. These collaborations indicate a strong network of talented individuals, aiming to drive forward innovations in technology together.

Conclusion

Tejas Nagendra Babu Nama exemplifies the spirit of innovation in the realm of data processing. His extensive range of inventions, particularly in the field of convolution networks, demonstrates not only his expertise but also his dedication to advancing technology. With his ongoing contributions, Tejas is sure to leave a lasting impact in the industry.

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]

6 patents pending: