Jyoti Leeka

Title: Innovations of Jyoti Leeka in Machine Learning

Introduction

Jyoti Leeka is an accomplished inventor based in Sunnyvale, CA. She has made significant contributions to the field of machine learning, holding a total of 3 patents. Her work focuses on enhancing computational workloads through innovative techniques.

Latest Patents

One of her latest patents is titled "Machine learning accelerated semantic equivalence detection." This invention involves detecting equivalent subexpressions within a computational workload. The process includes converting a query plan tree associated with a first subexpression into a matrix, where each node in the query plan tree is represented as a row of the matrix. The matrix is then converted into a first vector, allowing for the determination of equivalence between the first and a second subexpression by comparing their respective vectors. This comparison involves computing a distance that is lower than a specified threshold, leading to modifications in the computational workload to optimize performance.

Another notable patent is "Characterizing and forecasting evolving query workloads." This patent outlines systems and methods for analyzing and predicting query workloads. The method begins with receiving a query that includes a parameter value and an arrival time. It identifies the query as recurrent, extracts a query template, and generates a feature vector based on the extracted template and parameter value. Finally, it forecasts future queries by applying a neural network to the generated feature vector.

Career Highlights

Jyoti Leeka is currently employed at Microsoft Technology Licensing, LLC, where she continues to innovate in the field of machine learning. Her work has garnered attention for its practical applications in optimizing database queries and enhancing computational efficiency.

Collaborations

She collaborates with talented individuals such as Yuanyuan Tian and Brandon Barry Haynes, contributing to a dynamic and innovative work environment.

Conclusion

Jyoti Leeka's contributions to machine learning through her patents demonstrate her expertise and commitment to advancing technology. Her innovative approaches to query optimization and workload forecasting are paving the way for future developments in the field.