Company Filing History:
Years Active: 2022-2024
Title: Kadekoppa Kiran Rohithakshappa: Innovator in Machine Learning and Program Code Analysis
Introduction
Kadekoppa Kiran Rohithakshappa is a notable inventor based in Waxhaw, NC (US). He has made significant contributions to the field of machine learning and program code analysis. With a total of 3 patents, his work focuses on enhancing the efficiency and reliability of technology program code.
Latest Patents
One of his latest patents is titled "Electronic system for machine learning based anomaly detection in program code." This invention is directed towards machine learning-based anomaly detection in program code. The system includes a machine learning (ML) anomaly detection model component that detects architectural flaws in program code by processing application logs and determining flow sequences between various layers of code. The model is designed to construct application layer maps, determine architecture patterns, and identify anti-patterns in technology program code.
Another significant patent is "Electronic system for static program code analysis and detection of architectural flaws." This invention focuses on static program code analysis and the detection of architectural flaws. The system features a rule-based anomaly detection engine that captures application logs during the construction of technology program code. It dynamically detects anti-pattern conflicts to remediate defects in the code, thereby enhancing its overall quality.
Career Highlights
Kadekoppa Kiran Rohithakshappa is currently employed at Bank of America Corporation, where he applies his expertise in machine learning and program code analysis. His innovative work has positioned him as a valuable asset in the technology sector.
Collaborations
He collaborates with talented individuals such as Amit Mishra and Silpa Edappilly Santhosh, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Kadekoppa Kiran Rohithakshappa is a distinguished inventor whose work in machine learning and program code analysis has led to significant advancements in the field. His contributions continue to impact the technology landscape positively.