Summary
Tariq Alhindi is a Senior Machine Learning Engineer and team lead in New York with 11 years of experience specializing in NLP for misinformation—covering argument mining, discourse analysis, propaganda and fallacy detection, and Arabic NLP. He combines deep academic rigor as a Columbia PhD student with practical impact from industry roles at Noetica and internships at Bloomberg, Walmart, and ETS, working end-to-end on check-worthiness, evidence retrieval, and claim verification. Tariq’s research blends pre-trained language models with external knowledge sources and instruction-based prompts, and he has explored robustness under adversarial attacks and language-model-in-the-loop approaches for fallacy recognition. Unusually, his background spans both production systems (e.g., e-commerce SKU understanding and kiosk/ATM systems) and cutting-edge fact-checking research, giving him a rare bridge between engineering at scale and NLP research.
11 years of coding experience
11 years of employment as a software developer
Dual Master's degree Computer Science; Engineering Management, Dual Master's degree Computer Science; Engineering Management at Syracuse University
Doctor of Philosophy - PhD Computer Science - Natural Language Processing, Doctor of Philosophy - PhD Computer Science - Natural Language Processing at Columbia University
BS Computer Engineering, BS Computer Engineering at King Fahd University of Petroleum & Minerals - KFUPM
English, Arabic