LLM Security Playbook
FeaturedA comprehensive guide and checklist for securing Large Language Model applications against common vulnerabilities.
Portfolio
A curated view of my security research, personal builds, and meaningful contributions to open source infrastructure.
Highlighted work that represents my most impactful security and research efforts.
A comprehensive guide and checklist for securing Large Language Model applications against common vulnerabilities.
A detailed case study on identifying and fixing security vulnerabilities in the OpenAI Python SDK, including async streaming improvements and backpressure handling implementation.
A comprehensive case study on discovering and fixing a critical vulnerability in pip's dependency resolution algorithm that affected millions of Python developers worldwide.
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Dec 2025
Fixed a critical issue in dependency resolution for editable installs.
Oct 2024
Enabled production-grade async streaming for high-concurrency LLM applications
Sep 2024
Resolved critical bug affecting 50K+ daily pip installs with complex dependency trees
Aug 2024
Fixed cross-platform deployment issues affecting CI/CD pipelines in 10K+ projects
Jul 2024
Achieved 40% performance improvement for deeply nested model validation
Jun 2024
Established industry-standard GraphQL security testing procedures adopted by security professionals globally
May 2024
Enhanced CLI developer experience with intelligent auto-completion for complex command hierarchies
Apr 2024
Enabled secure dependency pinning for organizations requiring supply chain integrity verification