Summary
Shahzeb Akhtar is a Director in Austin with 10 years of experience building NLP and deep learning solutions that vectorize and evaluate patent portfolios to support licensing, due diligence, and litigation strategy. He blends structured patent metadata with unstructured text to surface early indicators of patent strength and legal risk, cutting manual review time and improving portfolio decisions. Shahzeb has led teams to produce interactive D3.js dashboards and novel algorithms—such as collapsing 250k hierarchical categories into ~100-dimensional vectors—that enable practical ML use of complex patent features. He has advised startups, law firms, and corporations on IP strategy and monetization, contributing to over $1B in favorable outcomes, and brings hands-on technical fluency in code review and claim-chart automation alongside strategic leadership.
10 years of coding experience
5 years of employment as a software developer
Boys' High School & College
Nanodegree, Data Scientist, Nanodegree, Data Scientist at Udacity
Master of Technology - MTech, Biotechnology, Master of Technology - MTech, Biotechnology at Indian Institute of Technology, Kharagpur
English, Hindi, Urdu, Arabic