Upamanyu Sarangi

Title: Upamanyu Sarangi: Innovator in Machine Learning Technologies

Introduction

Upamanyu Sarangi is a prominent inventor based in Hyderabad, India. He has made significant contributions to the field of machine learning, particularly in developing systems that optimize communication strategies. With a total of 2 patents to his name, Sarangi is recognized for his innovative approaches to enhancing user interactions through technology.

Latest Patents

Sarangi's latest patents include a "Machine Learning Based Contact Time Recommendation Engine" and a "Machine Learning Based Email Time Recommendation Engine." The contact time recommendation engine is a sophisticated method that computes optimal contact times for reaching out to first users, such as debtors. This method involves receiving inputs from second users, like debt collectors, and extracting relevant data from databases. It computes contact feature scores and first user call scores to determine the best times for contact.

The email time recommendation engine similarly utilizes machine learning to determine the optimal times for sending emails. It processes inputs from second users, extracts data, and computes electronic mail feature scores to rank the best times for communication. Both inventions showcase Sarangi's expertise in leveraging machine learning to improve efficiency in communication.

Career Highlights

Upamanyu Sarangi is currently employed at Highradius Corporation, where he continues to innovate and develop cutting-edge solutions. His work focuses on enhancing the effectiveness of communication through advanced algorithms and data analysis. Sarangi's contributions have positioned him as a key player in the field of machine learning.

Collaborations

Some of Sarangi's notable coworkers include Liza Mohanty and Dibya Prakash Sahoo. Their collaborative efforts contribute to the innovative environment at Highradius Corporation, fostering advancements in technology.

Conclusion

Upamanyu Sarangi is a distinguished inventor whose work in machine learning is paving the way for more effective communication strategies. His patents reflect a commitment to innovation and a deep understanding of user needs in the digital age.