Summary
Muhammad Aqeel is a Clinical Informatics Data Engineer with nine years of experience building scalable, production-ready data pipelines across AWS and GCP for healthcare and retail domains. At Regeneron he helped centralize de-identified phenotypic and genotypic data for over 2.5 million research subjects and contributed to a Common Data Model that enables mega-analyses across cohorts. He specializes in dbt, Dremio, BigQuery, Athena, Glue, and orchestration with Airflow/MWAA and Jenkins, and has implemented robust data validation suites that leverage generative AI to auto-generate SQL for complex business rules. His background spans real-time streaming, ETL modernization, and cataloging with AWS Glue, with measurable impacts such as a 15% revenue boost from a BigQuery ranking engine and major performance gains from Spark migrations. Currently pursuing an MS in Artificial Intelligence, he blends practical cloud engineering with advancing ML/NLP skills to translate research needs into reproducible data products. Based in Oregon, he combines a research-minded approach to rare disease phenotyping with a playful developer ethos—his GitHub quip suggests bugs are just “unexpected features.”
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Saint Louis University
F.sc Pre-engineering, F.sc Pre-engineering at PUNJAB GROUP OF COLLEGES
Bachelor’s Degree Electrical and Electronics Engineering, Bachelor’s Degree Electrical and Electronics Engineering at Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
English