Summary
Fahad Pervaiz is a senior software engineer with 13 years of experience designing and shipping backend infrastructure for data and AI/ML applications, currently building Azure-based microservices at Walgreens. He has a strong track record at Microsoft and Grab optimizing data ingestion, memory and cost for large-scale cloud systems and implementing distributed configuration, caching, and monitoring solutions. Fahad combines production engineering with research rigor—his academic work led to deployed public-health forecasting and name-resolution tools adopted by ministries in Niger, Haiti and Punjab. Comfortable across Kafka streams, CosmosDB/SQL Server, Databricks and MapReduce, he focuses on scalable, low-friction integrations that avoid refactors of legacy services. Known for clear communication and cross-functional collaboration, he repeatedly reduces operational cost and developer toil through pragmatic, incremental designs. Based in Seattle, he pairs deep systems experience with an applied research mindset that surfaces practical fixes to messy, real-world data problems.
13 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Washington
BS Computer Science, BS Computer Science at National University of Computer and Emerging Sciences