Summary
Muhammad Qasmi is an AI-native engineering leader with 12+ years building and operating large-scale, fault-tolerant distributed systems for Fortune 500 clients including Walmart and AT&T. He pairs hands-on engineering—architecting microservices, ML platforms, and cloud-native agent runtimes—with people leadership, owning OKRs, hiring, promotions, and C-suite-visible delivery. Notable wins include a 70-node AWS Spot-based crawler (IONA) that unlocked millions of products and ~$6M avoided labor cost, a 99.99% SLA microservice fleet for Walmart Seller Central, and an ML anomaly and geospatial preparedness platform for AT&T that saved an estimated $2M annually. Comfortable shipping production ML solutions, he actively uses AI assistants like Claude Code/Cowork in daily delivery and has built agent platforms on Azure AI Foundry for real-time data center optimization. With an M.Sc. from University of Bonn and a peer-reviewed paper cited widely on data-intensive cloud computing, he blends research-grade thinking with pragmatic delivery at enterprise scale.
12 years of coding experience
13 years of employment as a software developer
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at The University of Bonn
Bachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at National University of Computer and Emerging Sciences
English