This inventor holds 1 USPTO granted patent. Top assignee: Intuit, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Kaushik S in Data Streaming
Introduction
Kaushik S is an accomplished inventor based in Bengaluru, India. He has made significant contributions to the field of data streaming, particularly in maintaining streaming parity in large-scale pipelines. His innovative approach addresses critical challenges in data event management and consumption.
Latest Patents
Kaushik S holds a patent for "Maintaining streaming parity in large-scale pipelines." This invention focuses on the temporal grouping of data events generated by a producer application using a group identification tag. For each data event, data points are generated and uploaded to storage and cache at each point of production and consumption. The storage facilitates matching data events between production and consumption points, ensuring that streaming parity is maintained. In cases of mismatch, the cache detects missing data events, identifying those generated by an upstream producer application but not consumed by a downstream consumer. This invention is agnostic to the transformations applied by various applications in the pipeline, allowing for precise tracking of output and input data events.
Career Highlights
Kaushik S is currently employed at Intuit, Inc., where he continues to innovate and contribute to advancements in data management technologies. His work has garnered attention for its practical applications in real-world scenarios.
Collaborations
Kaushik collaborates with talented professionals such as Saikiran Sri Thunuguntla and Amit Kumar Soni. Their combined expertise fosters a creative environment that drives innovation and problem-solving.
Conclusion
Kaushik S is a notable inventor whose work in maintaining streaming parity has the potential to revolutionize data management in large-scale pipelines. His contributions reflect a deep understanding of the complexities involved in data streaming and event management.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile