Business, Employment, Intellectual property, Real estate, Litigation
Years of experience
Blockchain, Artificial intelligence
Chicago Kent College of Law; University of California, Berkeley
patent filing,patent litigation
My desire to become an attorney was not a decision based on the pros and cons evaluated through a systematic demarcation of each profession on its own; neither did it come as a divine realization through a specific set of events. I wanted to be a lawyer since the day I wanted to be anything at all.
Therefore, with that zeal and passion I passed the California Bar Examination in my first attempt in the year 2021. I have received my bar number and I am now licensed to practice in the State of California.
I grew up in a very competitive high school environment in India where I had the chance to interact with a variety of talented students having a diverse spectrum of interests-engineering, science, mathematics, literature and fine arts. Competing with such diverse group enabled me to reach for the top. With this outlook when I chose law as my career, I wanted to achieve the highest degree i.e. doctoral degree in the field of law.
I am currently enrolled in the Illinois Institute of Technology, Chicago-Kent College of Law for my Doctor of Juridical Science (JSD) degree. My interactions with science and mathematics helped me develop in-depth understanding of the issues surrounding the massive exploitation of personal information by machine learning algorithms (or as people call it: Artificial Intelligence). In fact my interests complement my thesis on the fairness issues of machine learning algorithms and the problems of the current regulations for automated decision making processes. I am glad to inform you that my thesis is almost ready, subject to a few amendments, and I will be graduating with a doctoral degree in May, 2022.
I had graduated with an LLM (Master of Laws) from the University of California, Berkeley, School of Law. My voracious interests on artificial intelligence and the regulatory perspective surrounding such complex models inspired my masters’ thesis on the concept of artificial intelligence and the authorship rights under US copyright law on the output delivered by such algorithms.
It was my high school experience that had edged on my desire to become an attorney, and by the dusk of my high school I knew I wanted to pursue law. Therefore, I decided to build my career around law from the start. This led me to pursue my undergraduate degree in law (Bachelor of Law, LLB) from the National Law University, Odisha, India (“NLUO”). During my under graduation, I had interned with some of the biggest law firms in India and have a strong hold on the functioning of major corporate law firms.
Despite devoting a large portion of my daily routine towards my research, I had not dejected my original purpose of gaining professional experience in various fields of law in this country. In that regards I have always tried to work as a law clerk, legal intern or as a legal fellow in various law firms and organizations.
I am currently working at Ideal Image MedSpa focusing on the healthcare laws of different states. I have also worked at a litigation law firm Shaw Legal Services Ltd focusing on Personal Injury, Real Estate Planning, Employment Law. I have been engaged in drafting briefs, summary judgment, Petition for Leave to Appeal to the Illinois Supreme Court as well as various motions.
I have also worked as a legal fellow at Wikimedia Foundation researching on DMCA and various copyright and privacy law matters and at Global IP Law Group as a law clerk where I focussed on various patent research exclusively via WestLaw and LexisNexis, claim chart preparation, and various technology analysis.
My work as a Legal Fellow at the Wikimedia Foundation granted me the opportunity to comment on the European Commission consultation on Artificial Intelligence. I have also had the opportunity to lead and arrange a summer panel discussion at the Foundation on the use of machine learning algorithms in content moderation. Speakers included experts in the field of machine learning and the law namely Anima Anandkumar, director of Machine Learning Research at NVIDIA and Bren Professor of Computing at Caltech, Rich Caruana, senior principal researcher at Microsoft, Chris Albon, director of machine learning at Wikimedia Foundation, Emma Llansó, director of Center for Democracy and Technology’s Free Expression Project, Pamela Samuelson, professor of law at UC Berkeley.