Company Filing History:
Years Active: 2023
Title: **Shahram Mohrehkesh: Innovator in Personalized Recommender Systems**
Introduction
Shahram Mohrehkesh is a notable inventor based in Mountain View, California, recognized for his contribution to machine learning and personalized recommendation systems. With a keen focus on enhancing user experiences through advanced technology, he holds a patent that showcases his ingenuity and understanding of contextual bandits in machine learning.
Latest Patents
Mohrehkesh's most recent patent is titled "Contextual bandits-based ecosystem recommender system for synchronized personalization." This innovative system and method are directed to a contextual bandits machine learning model configured to enable granular synchronized ecosystem personalization and optimization. The model determines an objective and integrates one or more lifecycle model propensity scores, generating potential weighted model rewards that are optimized based on user actions. Feedback is collected from user interactions to enhance the model's training, ensuring a continuous improvement process in delivering personalized recommendations.
Career Highlights
Currently, Shahram Mohrehkesh is employed at Intuit, Inc., a company dedicated to providing financial software solutions that empower individuals and small businesses. His role allows him to apply his expertise in machine learning to drive innovation and improve user interfaces for a diverse clientele. The impact of his work can be seen in the advancements in the company's product offerings, which aim for deeper personalization in user experiences.
Collaborations
In his professional journey, Mohrehkesh has collaborated with talented colleagues such as Yashwanth Musiboyina and Dawn-Marie Chantel Miesner. These partnerships reflect a shared commitment to innovation and underscore the collaborative spirit within the dynamic environment at Intuit, Inc.
Conclusion
Shahram Mohrehkesh exemplifies the spirit of innovation through his development of advanced recommender systems. His contributions not only enhance user experiences but also pave the way for future advancements in machine learning technologies. His patent reflects a significant step toward achieving sophisticated and personalized user interactions, highlighting the vital role of inventors in shaping the future of technology.