Location History:
- Redmond, WA (US) (2021)
- McKinney, TX (US) (2019 - 2024)
Company Filing History:
Years Active: 2019-2025
Title: Innovations in Vehicle Damage Assessment by Marigona Bokshi-Drotar
Introduction: Marigona Bokshi-Drotar is an innovative inventor based in McKinney, TX, with a notable portfolio of 18 patents. His work primarily focuses on advancements in the field of vehicle damage assessment, providing modern solutions to streamline and enhance this critical process.
Latest Patents: Among his latest patents are methods and systems that facilitate the automatic damage assessment of vehicles. One of his pioneering inventions includes a system that enables users to obtain image data of a vehicle using a mobile device. This method leverages an orientation model to analyze captured images, determining their suitability for damage assessment and transmitting the data to a damage estimator computing device. Another significant patent involves processing these images to identify damaged parts, differentiating between those that need repair and those that should be replaced, while estimating the respective costs using data from specialized repair and replacement databases.
Career Highlights: Marigona is associated with State Farm Mutual Automobile Insurance Company, where he contributes to the ongoing development of innovative solutions for the insurance industry. His expertise in creating computer-implemented methods demonstrates his commitment to enhancing vehicle assessment technologies.
Collaborations: Throughout his career, Marigona has collaborated with talented colleagues, including Michael L. Bernico and Holly Lambert, further fostering a culture of innovation and teamwork within his organization.
Conclusion: Marigona Bokshi-Drotar's contributions to the field of vehicle damage assessment mark a significant advancement in automotive technology. With a robust patent portfolio and collaborations with industry professionals, he continues to pave the way for innovative solutions that enhance the efficiency and accuracy of damage assessments in the automotive sector.