Location History:
- Emeryville, CA (US) (2020)
- San Francisco, CA (US) (2013 - 2021)
- Mill Valley, CA (US) (2021 - 2024)
Company Filing History:
18 out of 6,925 
6 out of 6 
3 out of 3 Years Active: 2013-2024
Title: Jason Lopatecki: Innovator in Machine Learning Technologies
Introduction
Jason Lopatecki is a prominent inventor based in San Francisco, California. With an impressive portfolio of 27 patents, he has made significant contributions to the field of machine learning. His innovative approaches focus on optimizing machine learning models and assessing the impact of data drift, ensuring that predictive technologies continue to deliver accurate results.
Latest Patents
Jason's latest patents reflect his expertise in machine learning. One of his notable inventions is titled "Systems and methods for optimizing a machine learning model." This patent describes a system that generates predictions based on input feature vectors. It includes an optimization module designed to create slices of predictions, determine optimization metrics, and subsequently enhance the machine learning model based on these metrics.
Another significant patent is related to "Data drift impact in a machine learning model." This invention outlines techniques for determining a drift impact score. The methods involve comparing a reference distribution with a current distribution of a machine learning model, calculating statistical distances, and assessing feature importance parameters. Such innovations are crucial for maintaining the reliability of predictive analytics.
Career Highlights
Throughout his career, Jason has gained invaluable experience working for prominent companies in the tech industry. Notably, he has been associated with Adobe, Inc. and Adobe Systems Incorporated, where he has further honed his skills in machine learning and innovation. His work continues to influence the capabilities of machine learning applications across various sectors.
Collaborations
Jason has collaborated with talented professionals in his field, including John Hughes and Adam Rose. These partnerships have facilitated the development of innovative solutions and have expanded the impact of his inventions in the industry.
Conclusion
Jason Lopatecki stands out as a leading inventor with a notable track record in developing machine learning technologies. His contributions, as reflected in his patents, underscore a commitment to enhancing predictive modeling's efficiency and accuracy. As the landscape of technology continues to evolve, Jason's innovations will undoubtedly play a significant role in shaping its future.