Bengaluru, India

Tejas Shah


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Tejas Shah - Innovator in Real-Time Data Processing

Introduction

Tejas Shah is an accomplished inventor based in Bengaluru, India, who has made significant contributions to the field of data processing. His innovative approach has led to the development of a unique patented technology aimed at enhancing the efficiency of monitoring and predicting batch activity in real-time.

Latest Patents

Tejas Shah holds a patent for a system and method for observing and predicting data batch activity in real time. This groundbreaking invention involves a sophisticated method for monitoring batch activities, which includes obtaining ordered lists of jobs from scheduling platforms and gathering job-related information from various file transfer sources. The process enriches this data with additional details from metadata repositories to generate a comprehensive dependency graph. This graph visually represents jobs and transfers, allowing for real-time predictions of critical paths and execution times, maximizing operational efficiency.

Career Highlights

Tejas Shah is currently employed at Morgan Stanley Services Group Inc., where he applies his expertise in data analysis and system design. His work is characterized by a commitment to leveraging technology to solve complex challenges and improve predictive capabilities within the financial services sector.

Collaborations

Tejas has had the opportunity to collaborate with talented professionals, including coworkers Vishal Deshmukh and Sujit Eapen. Together, they strive to push the boundaries of data processing and innovation, reflecting the spirit of teamwork that characterizes leading research and development environments.

Conclusion

In summary, Tejas Shah stands out as a notable inventor with a focus on real-time data processing innovations. His patent reflects a forward-thinking approach that addresses the evolving needs of technology in monitoring and predicting batch activities. His contributions continue to influence advancements in the field and make a significant impact within his organization and beyond.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…