Company Filing History:
Years Active: 2023
Title: The Innovative Mind of Kamil Ozgur Arman in Crash Localization Technology
Introduction
Kamil Ozgur Arman, a prominent inventor based in Seattle, WA, has made significant strides in the field of technology with his innovative patent. With a focus on enhancing crash localization, Arman's inventive work showcases the intersections of machine learning and software reliability. As an employee at Microsoft Technology Licensing, LLC, he continues to push the boundaries of technology to improve user experience and system stability.
Latest Patents
Kamil Ozgur Arman holds a patent titled "Crash localization using crash frame sequence labeling - Machine-learned prediction of a blame frame of a crash stack." This groundbreaking patent addresses the critical need for precise crash detection and analysis in software applications. By parsing a crash stack into a sequence of frames, the system identifies crucial features within each frame. Feeding these features into a neural network allows for the estimation of a blame frame. This innovation not only enhances understanding during training but also enables cross-application prediction by contextualizing each frame within the overall crash stack.
Career Highlights
With a dedication to advancing technology, Kamil has made his mark at Microsoft Technology Licensing, LLC. His focus on machine learning and software reliability demonstrates a commitment to improving the overall performance of applications. The successful patent adds to his professional portfolio, reflecting his innovative mindset and technical expertise.
Collaborations
Kamil Ozgur Arman collaborates with talented peers, including Chetan Bansal and Manish Shetty Molahalli. These partnerships facilitate the exchange of ideas and foster an environment conducive to innovation, ultimately leading to enhanced technological solutions in the industry.
Conclusion
As an inventor, Kamil Ozgur Arman exemplifies the spirit of innovation in the tech industry. His patent on crash localization and machine-learned predictions showcases a forward-thinking approach to software reliability and safety. With continued efforts at Microsoft Technology Licensing, LLC, Arman is poised to contribute further to the advancements in technology and software engineering.