Kasra Nezamabadi

About Kasra Nezamabadi

I am a PhD Senior Software Engineer at Google specializing in Explainable AI (XAI) for Fleet Efficiency. I architect agentic LLM, large-scale AI platforms to automatically diagnose and root-cause performance regressions across Google’s fleet.My approach to ML is grounded in explainability and purposeful design: using AI where it truly adds value to solve complex bottlenecks that cannot be addressed otherwise. This philosophy drove my PhD research, where I developed XplainScar, an explainable AI framework for cardiac scar detection (read more in Scientific Reports: nature.com/articles/s41••••••••27).At Google, I apply these exact same diagnostic principles at scale. By translating advanced research methodologies to fleet-wide anomaly detection, I build agentic workflows that transform raw telemetry into actionable insights. These systems make our infrastructure self-diagnosing, eliminate massive manual triage overhead, and bridge the gap between complex data and engineering decisions.For my research contributions, see:

Experience

1. Senior Software Engineer Technical Lead

   Google

   Mar 2026 — Present · Sunnyvale, CA, US

Education

• K. N. Toosi University of Technology

  Master's degree, Artificial Intelligence

  2015 — 2017

• K. N. Toosi University of Technology

  Bachelor's degree, Computer Engineering

  2011 — 2015

• University of Delaware

  Doctor of Philosophy - PhD, Artificial Intelligence

  2018 — 2023

Skills

• American English
• Netbeans
• Persian
• Assembly Language
• Climbing
• Atmel Avr
• Eclipse
• Visual C++
• Python
• Deep Learning
• Android Development
• Sql
• Linux
• Web Development
• C++
• Java
• C
• Swimming
• Machine Learning
• Objective-C
• Ios Development
• Object Oriented Design