This inventor holds 1 USPTO granted patent. Top assignee: Intel Corporation. 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 by Lekshmi C in Machine Learning for Circuit Timing Predictions
Introduction
Lekshmi C is an accomplished inventor based in Bengaluru, India. She has made significant contributions to the field of machine learning, particularly in the area of circuit timing predictions for system-on-chips. Her innovative work has garnered attention and recognition in the tech industry.
Latest Patents
Lekshmi holds a patent titled "Methods and apparatus to generate circuit timing constraint predictions using machine learning." This patent discloses methods, apparatus, systems, and articles of manufacture for generating I/O timing constraint predictions for system-on-chips using machine learning. The apparatus described in the patent comprises at least one memory, machine-readable instructions, and processor circuitry. It is designed to extract delay features from two system-on-chip designs, apply a machine learning model to estimate delays, and update designs based on error analysis.
Career Highlights
Lekshmi C is currently employed at Intel Corporation, where she continues to push the boundaries of technology through her innovative work. Her expertise in machine learning and circuit design has positioned her as a valuable asset to her team and the company.
Collaborations
Some of her notable coworkers include Sourav Saha and Anmol Khatri, with whom she collaborates on various projects at Intel Corporation.
Conclusion
Lekshmi C's contributions to machine learning and circuit design exemplify the innovative spirit of modern inventors. Her work not only advances technology but also inspires future generations of engineers and inventors.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
