Company Filing History:
Years Active: 2019-2024
Title: Sunilkumar Muthyala: Innovator in Predictive Technologies
Introduction
Sunilkumar Muthyala is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of predictive technologies, holding 2 patents that showcase his innovative approach to problem-solving. His work primarily focuses on enhancing the accuracy and speed of computational methods.
Latest Patents
One of Sunilkumar's latest patents is titled "Deep neural network assisted prediction using Monte Carlo simulations." This method involves receiving input of historical index values and performing Monte Carlo simulations to predict future index values. By calculating various attributes of the historical data, the simulations are correlated to identify a subset of predicted values that meet a defined accuracy threshold. These values are then processed through a deep neural network (DNN) to generate confidence scores for each prediction.
Another significant patent is "Speed and accuracy of computers when resolving client queries by using graph database model." This invention describes a computer-implemented method aimed at improving the performance of a server executing a chatbot. The method includes parsing client input into keywords, storing the input as a profile, and traversing a graph database model to return solutions efficiently.
Career Highlights
Sunilkumar has worked with prominent companies such as ADP, Inc. and S&P Global, Inc. His experience in these organizations has contributed to his expertise in developing innovative solutions that leverage advanced technologies.
Collaborations
Some of Sunilkumar's notable coworkers include Amit Kumar Sharma and Sreedhar Athikam. Their collaboration has likely fostered an environment of creativity and innovation, further enhancing the impact of their collective work.
Conclusion
Sunilkumar Muthyala stands out as an inventor dedicated to advancing predictive technologies through his innovative patents. His contributions reflect a commitment to improving computational methods and enhancing user experiences in various applications.