Summary
Kazem Qazanfari is a data science and AI leader with over a decade of experience spanning research labs, enterprise banking, and product-focused startups. He has deep expertise in text mining, machine learning, deep learning and computer vision, developed through roles at Tejarat Bank, Iran telecom research centers, Promantus, and as a senior data scientist at Capital Group. Now co-founder of Anantis.AI and AI consultant at Nikalex, he combines hands-on model development (TensorFlow, Spark, AWS) with building production-ready services such as recommendation APIs, resume parsers, and web-crawling pipelines. His path blends rigorous academia—a PhD candidate at The George Washington University and an MSc in AI—with practical deployments that optimize real-world systems. Notably, his early research applied ML to JPEG2000 parameter tuning and zero-day network anomaly detection, showing a knack for translating niche research problems into robust solutions. Based in Los Angeles, he brings entrepreneurial drive and cross-domain curiosity to bridge research advances and scalable product engineering.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at The George Washington University
Bachelor of Applied Science - BASc, Computer Science, Bachelor of Applied Science - BASc, Computer Science at University of Birjand
Associate of Science - AS, Computer Engineering, Associate of Science - AS, Computer Engineering at Montazeri Technical College of Mashhad
Amirkabir University of Technology
Sharif University of Technology
Persian, English, Arabic