Summary
Hassan Naqvi is a data and technology leader with two decades of experience and a decade of focused hands-on work in health data science, currently managing multimodal data pipelines and AI initiatives at Aga Khan University in Karachi. He combines systems thinking with practical engineering—automating Airflow ETL workflows, building TensorFlow/PyTorch models for imaging and NLP, and shipping Android apps and secure REST APIs for field research. Hassan has bridged research and production by integrating cutting-edge IEEE and PubMed findings into real-world health studies while enforcing HIPAA/GDPR-level security and AES-256-GCM encryption. Equally comfortable in Python, SQL, PHP, and Kotlin, he delivers end-to-end solutions from data ingestion and feature engineering to deployment and interactive dashboards. A pragmatic problem-solver and mentor, he has a proven track record of translating complex clinical requirements into reproducible, scalable systems that support actionable research.
10 years of coding experience
18 years of employment as a software developer
Intermediate, Commerce, Intermediate, Commerce at Commecs College
Matriculation - 10th Grade, Commerce, Matriculation - 10th Grade, Commerce at Habib Public School
Bachelor of science (Hons.), Computing, passed with Distinction, Bachelor of science (Hons.), Computing, passed with Distinction at University of Staffordshire
English, Urdu