San Jose, CA, United States of America

Olivia Hatalsky

USPTO Granted Patents = 10 


Average Co-Inventor Count = 3.9

ph-index = 3

Forward Citations = 90(Granted Patents)


Location History:

  • Berkeley, CA (US) (2015 - 2017)
  • Mountain View, CA (US) (2019)
  • San Jose, CA (US) (2019 - 2023)

Company Filing History:


Years Active: 2015-2024

where 'Filed Patents' based on already Granted Patents

10 patents (USPTO):

Title: Olivia Hatalsky: A Pioneer in Code Adaptation

Introduction

Olivia Hatalsky is a distinguished inventor based in San Jose, California, known for her innovative contributions to the field of computer science. With ten patents to her name, she has made significant strides in adapting source code snippets for diverse contexts, thereby facilitating enhanced software development processes.

Latest Patents

One of Olivia's latest patents focuses on "Adapting existing source code snippets to new contexts." This patent describes implementations for incorporating existing source code snippets into new destination source code. The process includes detecting commands and generating embeddings based on the original code snippets. It further involves processing the destination source code to identify decoder constraints, with the ultimate goal of generating a new version of the existing code that is tailored to its new environment.

Career Highlights

Throughout her career, Olivia has worked with renowned organizations, including Google Inc. and X Development LLC. Her work at these companies has been marked by her ability to innovate and improve existing technologies, contributing to more efficient software solutions.

Collaborations

Olivia has collaborated with notable professionals such as Bin Ni and Qianyu Zhang, forming a collaborative network that encourages innovation and the sharing of ideas in the tech community.

Conclusion

With her impressive portfolio of patents and a strong background in computer science, Olivia Hatalsky continues to be a prominent figure in the field of software development. Her work on adapting source code has significant implications for the future of programming, paving the way for more flexible and efficient coding practices.

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