Company Filing History:
Years Active: 2016-2025
Title: Faisal Ahmad Qureshi: Innovator in Network Technology and Machine Learning
Introduction
Faisal Ahmad Qureshi is a notable inventor based in Seattle, WA, with a focus on advancements in network technology and machine learning. He holds five patents that showcase his innovative contributions to these fields. His work emphasizes improving network efficiency and enhancing user experiences through intelligent algorithms.
Latest Patents
One of Faisal's latest patents involves modifying network routing and bandwidth balancing for lower latency and high-quality fair traffic. This technology utilizes machine learning to analyze historical network routing data, allowing for the classification of available routes between source and destination nodes. By determining optimal bandwidth allocations, Faisal's invention aims to enhance data transmission efficiency across wide area networks.
Another significant patent focuses on high confidence predicted profiles for online dating matching. This invention employs continuously learning machine learning models that are trained for each user based on physical and facial attributes. The process involves updating models with new data to improve match accuracy, ultimately rendering candidate profile images for user selection.
Career Highlights
Faisal has worked with several companies throughout his career, including Hourglass Software LLC and Symbol Technologies, LLC. His experience in these organizations has contributed to his expertise in developing innovative solutions in technology.
Collaborations
Faisal has collaborated with notable professionals in his field, including David P. Goren and Vladimir P. Gurevich. These partnerships have likely enriched his work and expanded the impact of his inventions.
Conclusion
Faisal Ahmad Qureshi is a distinguished inventor whose work in network technology and machine learning continues to influence the industry. His patents reflect a commitment to innovation and improving user experiences through advanced technology.