Sikander Khan is the founder of FP. Sikander specializes in building full-stack AI patent portfolios spanning software, hardware, and biotechnology. Sikander believes in describing an AI invention two levels deeper than what has been the norm for patent applications. Sikander’s patent applications emphasize writing that is technically meticulous, with scope aligned with the clients’ current business goals and desired market positions. A recent study on AI patents found a patent drafted by Sikander to be the model AI patent.
Sikander’s experience includes embedding with AI teams of market leaders like Salesforce and Illumina and developing their AI patent portfolios from inception. Sikander also works with bleeding edge AI startups in the Valley like SambaNova, Normalyze, Endor Labs, and SafeGraph. Sikander’s background in computer engineering allows him to work on both software AI models and hardware AI computers.
Sikander works closely with European attorneys and has significant experience in drafting and prosecuting applications that got expeditiously granted both in the US and in Europe. Sikander is an avid reader of AI publications and codes deep learning models in TensorFlow and PyTorch. Sikander did his engineering at SUNY Buffalo and went to Santa Clara for law school.
