Bashir Partovi

Principal Software Engineer, AI Red Team at Microsoft

Reston, Virginia, United States
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Summary

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Rockstar
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Top School
Bashir Partovi is a Principal Software Engineer with 15+ years of experience building resilient, large-scale distributed systems across Microsoft, AWS, and Salesforce, now focused on AI red-teaming and adversarial model evaluation. He has designed high-performance cloud data paths for real-time satellite uplink/downlink at Azure Orbital and led automation and observability platforms that keep global services reliable under heavy operational demands. His background spans networking, cloud infrastructure, and system reliability—having driven Direct Connect and network automation projects that removed manual operational toil and improved fleet-wide efficiency. At Microsoft he maintains PyRIT, an open-source Python framework for LLM risk identification, and builds the tooling that enables rigorous adversarial testing at scale. Colleagues describe him as an engineer who moves systems from prototype to GA while keeping a keen eye for modular, extensible architecture and measurable operational improvements. Based in Reston, VA, he blends electrical and computer engineering foundations with deep production experience across cloud, space, and AI systems.
code10 years of coding experience
job11 years of employment as a software developer
bookThe University of Maryland, College Park
bookBachelor of Science (B.S.), Electrical Engineering, 3.31, Bachelor of Science (B.S.), Electrical Engineering, 3.31 at University of Maryland
languagesPersian
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Github Skills (20)

python10
security10
generative-ai10
pytest6
security-testing4
classify3
backend2
lambda2
agentic-ai2
amazon-api-gateway2
keras2
amazon-cognito1
aws-lambda1
machine-learning1
video-upload1

Programming languages (3)

ShellObjective-CPython

Github contributions (5)

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bashirpartovi/PyRIT

Mar 2025 - May 2026

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.
Contributions:155 pushes, 43 branches in 1 year 1 month
Uses Keras to classify faculty bio pages
Contributions:9 pushes, 1 branch in 6 days
facultytensorflowkerasclassifybio
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