Shazal Irshad

I am a software engineer on the Wireless AI/ML Systems team at Cisco Meraki, where I work on building intelligent, data-driven systems for enterprise wireless networks. My work spans large language models for packet analysis, explainable ML for root cause analysis, and telemetry pipelines for configuration recommendation at scale.

I completed my Ph.D. in Computer Science at the University of Colorado Boulder in 2023, advised by Dr. Eric Rozner. My dissertation, “Joining Wireless and Vision Techniques for Improving Contextual Awareness,” developed systems that integrate Wi-Fi and camera sensing to improve indoor localization accuracy and enable privacy-preserving vision pipelines.

My research interests include systems and networking, distributed and intelligent networked systems, ML for system diagnostics and operations, mobile and wireless computing, networked sensing, and privacy-aware systems. I am broadly motivated by building scalable, reliable, and context-aware systems that bridge research and real-world deployments.

I received my M.S. in Computer Science from LUMS (Lahore, Pakistan) in 2017, and my B.S. in Computer Science from FAST-NUCES in 2014.

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