Bengaluru, India

Srujana Merugu

This inventor holds 16 USPTO granted patents, primarily in Machine Learning. Top assignees: International Business Machines Corporation, Yahoo! Inc., Amazon Technologies, Inc.. Active years: 2011-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Srujana Merugu. Retrieved from https://idiyas.com/inventor/srujana-merugu

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

Calculating rank

% Patents Active = 37.5

Average Co-Inventor Count = 4.2

ph-index = 8

Forward Citations = 183(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (2011 - 2014)
  • Gurgaon, IN (2013 - 2015)
  • Harayana, IN (2015 - 2016)
  • Bengaluru, IN (2017 - 2021)

Company Filing History:


Years Active: 2011-2021

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Areas of Expertise:
Data Labeling
Machine Learning
Clustering
Data Mining
Probabilistic Matrix Factorization
User Interface
Opinion Aggregation
Temporal Context
Causal Modeling
Outlier Detection
Predictive Models
Dyadic Data
16 patents (USPTO):Explore Patents

Title: Srujana Merugu: Innovator in Machine Learning Technologies

Introduction

Srujana Merugu is a notable inventor based in Bengaluru, India, recognized for his significant contributions to machine learning technologies. With a remarkable portfolio, he holds 16 patents that showcase his innovative capabilities and advance the fields of data analysis and artificial intelligence.

Latest Patents

Among his latest inventions, Srujana has developed a patent focused on the labeling of data for machine learning. This innovative approach involves a computer generating labels for machine learning algorithms by retrieving multiple label sets from a data storage circuit. The system creates a graph featuring edges between respective labels from different sets, determining weights for these edges based on the consistency between data points classified by the connected labels. An algorithm then groups these labels based on the determined weights, identifying data points representing conflicts within the grouped labels. Ultimately, electronic messages are transmitted to present these identified data points to entities for further classification, and a new label set is generated using the received classifications. This patent represents a significant step forward in automating and enhancing the efficiency of data labeling processes.

Career Highlights

Srujana has garnered experience working with esteemed companies, including IBM and Yahoo! Inc. His tenure at these organizations has allowed him to refine his expertise in machine learning and data processing, leading to his numerous innovative contributions.

Collaborations

Throughout his career, Srujana has had the opportunity to collaborate with several talented individuals, including his coworkers Prasanta Kumar Ghosh and Shantanu Ravindra Godbole. These collaborations have likely enriched his perspective and further fueled his inventive journey.

Conclusion

Srujana Merugu exemplifies the spirit of innovation in the tech industry, particularly in machine learning. His numerous patents not only highlight his creativity but also contribute to the evolving landscape of data classification technologies. As he continues to develop and implement groundbreaking solutions, Srujana's work will undoubtedly have a lasting impact on the field and inspire future inventions.

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]
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