Hyderabad Telangana, India

Ravi Chandra Chamarthy

This inventor holds 16 USPTO granted patents and 6 published patent applications, primarily in Machine Learning Governance. Top assignee: International Business Machines Corporation. Active years: 2015-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ravi Chandra Chamarthy. Retrieved from https://idiyas.com/inventor/ravi-chandra-chamarthy

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

Calculating rank
USPTO Granted Patents = 16 

% Patents Active = 87.5

Average Co-Inventor Count = 2.5

ph-index = 1

Forward Citations = 113(Granted Patents)


Company Filing History:


Years Active: 2015-2026

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Areas of Expertise:
Machine Learning
Fairness
AI Governance
API Management
Batch Processing
Model Monitoring
Error Reduction
Sensitivity Evaluation
Document Processing
Tamper Proof Metrics
XML Processing
Bias Correction
16 patents (USPTO):Explore Patents

Title: Innovations by Ravi Chandra Chamarthy

Introduction

Ravi Chandra Chamarthy is a prominent inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of technology, particularly in machine learning and data fairness. With a total of 16 patents to his name, his work continues to influence advancements in artificial intelligence and data processing.

Latest Patents

One of his latest patents is titled "System and methods for evaluating the sensitivity and fairness bounds of tree-based models." This invention relates to a process that facilitates abnormal document self-discovery. The system comprises a memory that stores computer executable components and a processor that executes these components. The components include a fairness component that calculates fairness metrics, an identification component that identifies root to leaf paths in tree-based models, and a removal component that eliminates records with similar paths to enhance model accuracy.

Another notable patent is "Decreasing error in a machine learning model based on identifying reference and monitored groups of the machine learning model." This invention provides a tool for improving data quality in machine learning models. It monitors the model's behavior over a predetermined time frame and compares fairness metrics against predefined thresholds. If the metrics do not meet the threshold, the tool modifies the monitored group to include portions of the reference group, ensuring improved fairness and accuracy in the model.

Career Highlights

Ravi Chandra Chamarthy is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop new technologies. His work at IBM has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to technology.

Collaborations

Some of his notable coworkers include Manish Anand Bhide and Madhavi Katari. Their collaborative efforts have led to advancements in various projects, showcasing the importance of teamwork in the innovation process.

Conclusion

Ravi Chandra Chamarthy's contributions to technology through his patents and work at IBM highlight his role as a leading inventor in the field. His innovative solutions in machine learning and data fairness continue to pave the way for future advancements.

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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