Vijeth Lomada

Title: Innovations of Vijeth Lomada

Introduction

Vijeth Lomada is an accomplished inventor based in San Jose, CA. He holds a total of 4 patents that showcase his expertise in machine learning and user interaction technologies. His innovative contributions have significantly advanced the field of search systems and user data processing.

Latest Patents

One of his latest patents is titled "Multi-modal machine-learning model training for search." This patent describes techniques that address conventional challenges and inefficiencies in machine learning, enabling real-time output that was previously unattainable. The system is designed to support multi-modal machine-learning model training, incorporating a preview mode for real-time training and an expanded mode for utilizing the generated segments in an expanded machine-learning model.

Another notable patent is "Generating homogenous user embedding representations from heterogeneous user interaction data using a neural network." This invention focuses on transforming unorganized user interaction data into structured formats, allowing for the generation of uniform vectorized user embeddings through a semi-supervised training approach.

Career Highlights

Vijeth has worked with prominent companies such as Adobe, Inc. His experience in these organizations has allowed him to refine his skills and contribute to significant advancements in technology.

Collaborations

Throughout his career, Vijeth has collaborated with talented individuals, including Vidit Bhatia and Haichun Chen. These partnerships have fostered innovation and creativity in his projects.

Conclusion

Vijeth Lomada's contributions to the field of machine learning and user interaction are noteworthy. His patents reflect a commitment to overcoming challenges in technology and enhancing user experiences. His work continues to inspire advancements in the industry.