Hasan Iqbal is an NLP-focused PhD candidate and experienced data engineer with eight years building production data pipelines, visual ETL tools, and secure healthcare data integrations. Currently a Graduate Student Researcher at MBZUAI, he blends academic rigor in natural language processing with practical engineering—previous roles include leading ingestion architecture and preprocessing workflows for Prognos Health and designing a Blockly-based ETL for retail data. He has a strong interdisciplinary foundation (MSc in NLP and Data Science, BSc in Electrical Engineering) and hands-on bioinformatics research experience, including protein structure work at G42 Healthcare. Known for translating complex research into usable tools, Hasan aims to evolve from educator to mentor, pairing technical depth with a knack for client-facing collaboration and team leadership.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Natural Language Processing, Doctor of Philosophy - PhD, Natural Language Processing at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)
Master of Science - MSc, Data Science, Master of Science - MSc, Data Science at National University of Sciences and Technology (NUST)
Bachelor of Science - BSc, Electrical and Electronics Engineering, Bachelor of Science - BSc, Electrical and Electronics Engineering at University of Engineering and Technology, Lahore
Intermediate and Secondary Education, Mathematics, Intermediate and Secondary Education, Mathematics at Forman Christian College (A Chartered University)
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