This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Walmart Apollo, LLC. Active years: 2023-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2025
Title: Sriram Krishnaswamy: Innovator in Machine Learning Scheduling Solutions
Introduction
Sriram Krishnaswamy is a notable inventor based in Fremont, California. He has made significant contributions to the field of machine learning, particularly in the area of scheduling systems. With a total of two patents to his name, Sriram is recognized for his innovative approaches to automating scheduling processes.
Latest Patents
Sriram's latest patents focus on methods and apparatus for scheduling timeslots using machine learning processes. These applications relate to the automatic scheduling of timeslots for item pickups and deliveries. The technology employs machine learning to determine the capacity of various timeslots and establishes when these slots become available for selection. The system is designed to display the timeslots at predetermined times and allows users to select a timeslot for scheduling pickups or deliveries. The machine learning processes are trained using historical timeslot data and workforce availability, enhancing the efficiency of the scheduling system.
Career Highlights
Sriram currently works at Walmart Apollo, LLC, where he applies his expertise in machine learning to develop innovative scheduling solutions. His work has contributed to improving operational efficiencies within the company.
Collaborations
Sriram collaborates with talented individuals such as Ajaykartheek Vasagiri and Faraz Hussain, who share his passion for innovation and technology.
Conclusion
Sriram Krishnaswamy is a forward-thinking inventor whose work in machine learning scheduling solutions is paving the way for more efficient logistics and operations. His contributions are significant in the realm of automated scheduling, showcasing the potential of technology to enhance everyday processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
