Summary
Raza Ahmad is a research engineer based in Chicago with 10 years of experience applying data science, machine learning, NLP, and graph databases to problems in data provenance and computational reproducibility. At DePaul University and previously as an international research fellow at SRI, he designed provenance query architectures, integrated diverse storage backends (Neo4j, PostgreSQL, LevelDB, Redis), and pushed improvements in real-time ingestion, compression, and privacy-aware querying. His earlier work spans applied ML for healthcare, security, and HEP challenges, plus practical SEO and project management for web clients, giving him both deep research rigor and product-minded delivery. Currently pursuing a PhD, he blends systems-level engineering with experimental rigor to make provenance both scalable and auditable—often optimizing streaming and distributed settings that are easy to overlook.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD (Ongoing), Doctor of Philosophy - PhD (Ongoing) at DePaul University
Bachelor’s Degree, Bachelor’s Degree at National University of Computer and Emerging Sciences
Punjabi, Arabic, Urdu, English