Summary
Shahzeb Akhtar is a technology leader applying NLP and deep learning to patent data to optimize portfolio strategy, competitive analysis, and licensing opportunities. As Director at UnitedLex, he leads cross-functional teams to vectorize large patent datasets and build interactive dashboards with d3.js and Python that deliver actionable IP insights. He engineered a novel algorithm to compress 250k+ hierarchically related categories into a ~100-dimensional vector space, enabling critical patent parameters in ML models. His work supports portfolio evaluation, due diligence, and litigation strategy, contributing to over $1B in favorable settlements, jury verdicts, and licensing revenue. He advises startups on IP strategy and has served as a technology specialist for corporates, law firms, and universities to monetize patent portfolios. Based in Austin, TX, Shahzeb holds an IIT Kharagpur background (BTech/MTech in Biotechnology) and completed Udacity nanodegrees in Data Science and ML Engineering.
9 years of coding experience