Company Filing History:
Years Active: 2025
Title: Gagik Hacobian - Innovator in Machine Learning for Construction Drawings
Introduction
Gagik Hacobian is an accomplished inventor based in La Crescenta, California. He has made significant contributions to the field of machine learning, particularly in the context of construction project management. His innovative approach focuses on enhancing the identification of drawing attributes through advanced computational techniques.
Latest Patents
Gagik Hacobian holds a patent for a groundbreaking invention titled "Machine-learning-based identification of drawing attributes." This patent describes a computing system designed to access a drawing associated with a construction project. The system identifies candidate textual elements that may represent the title of the drawing. For each candidate, it determines a dataset of values for data variables that could predict whether the candidate is indeed the title. The dataset is then input into a machine-learning model that evaluates it and outputs a score indicating the likelihood of the candidate being the title. Ultimately, the system selects one candidate as the title based on these scores.
Career Highlights
Gagik Hacobian is currently employed at Pro-Core Technologies Limited, where he continues to develop innovative solutions in the realm of machine learning and construction technology. His work has positioned him as a key player in the industry, contributing to advancements that streamline project management processes.
Collaborations
Gagik collaborates with talented individuals such as Patavee Meemeng and Hunter Buckhorn, who share his passion for innovation and technology. Together, they work on projects that push the boundaries of what is possible in their field.
Conclusion
Gagik Hacobian's contributions to machine learning and construction technology exemplify the impact of innovation in improving industry practices. His patent and ongoing work at Pro-Core Technologies Limited highlight his commitment to advancing the field.