Sanjeev Bajwa is an intellectual property attorney with experience that includes patent drafting and prosecution, drafting patent application appeals, performing patent portfolio strategic analysis, as well as performing validity and infringement analysis. He has particular knowledge in the fields of artificial intelligence (AI), machine learning, cloud computing, database systems, fintech, internet technologies, networking, telecommunications, digital image processing, bioinformatics, virtual reality (VR), augmented reality (AR), and mechanical devices. Prior to law school, Mr. Bajwa was a software engineer for various technology, financial, and biotech companies, including Hewlett Packard and BlackRock (formerly known as Barclays Global Investors). Mr. Bajwa earned his Juris Doctorate from the University of Pacific, McGeorge School of Law and has B.S. degrees in Biochemistry and Computer Science from UC Davis and San Jose State University. Recently, Mr. Bajwa has focused on the issue of predictive policing and whether current policing AI models are inherently biased based on the type of training data used to train the AI models.
Ethics + Policy00%
Emerging Technologies00%
Qualitative Research00%
Artificial Intelligence + Predictive Policing00%
Follow Me:
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.