Sarah Sarabadani
Senior Applied Scientist - Machine Learning Engineer
- Role
- Senior Applied Scientist at Microsoft
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Sarah Sarabadani
Senior Applied Scientist with 8+ years of experience specializing in Large Language Models (LLMs), multi-modal agentic workflows, and AI-driven solutions at scale to enhance email security. I am passionate about moving beyond simple classification to building reasoning engines that can explain their decisions.
Experience
Senior Applied Scientist
Aug 2022 — Present · San Francisco, CA, US
Architected a multi-modal agentic framework to enhance Microsoft\'s email filtering stack, aiming to reduce False Positives and False Negatives on complex attacks- Engineered dynamic tool-use workflows enabling autonomous agents to investigate emails and provide explainable AI justifications for classification decisions- Leveraged Transfer Learning to adapt pre-trained BERT models for domain-specific threat detection (e.g, Business Email Compromise)- Designed and deployed a Meta-Model (Ensemble Learning) that aggregates predictions from upstream filters, significantly improving final verdict precision.
Education
University of Toronto
Master's degree, Biomedical Engineering
2014 — 2016
Sharif University of Technology
Bachelor of Science, Mechanical Engineering
2009 — 2013
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