Building the security layer for AI agents, LLM applications, and multi-agent systems. Active open-source contributor across AI Security, MCP/Agentic Security, DevSecOps, and Multi-Agent Systems.
- AI Security & Red-Teaming -- LLM vulnerability assessment, jailbreak detection, probe development
- MCP / Agentic Security -- Model Context Protocol security scanning, credential detection, tool poisoning
- DevSecOps -- SAST rule development, dependency hardening, CI/CD security
- Multi-Agent Systems -- Secure agent orchestration, guardrails, observability
Actively contributing to production security and AI tooling:
| Repository | Contribution | PR | Status |
|---|---|---|---|
| NVIDIA/garak | AART probe for AI-assisted red-teaming across diverse cultural contexts | #1974 | Open |
| trailofbits/mcp-context-protector | Replaced ~50 bare ValueError with typed exception hierarchy (9 classes) | #55 | Open |
| vibrantlabsai/ragas | Fixed NonLLMContextRecall threshold > to >= consistency + 5 tests |
#2867 | Open |
| vibrantlabsai/ragas | Fixed FactualCorrectness recall TP vs precision TP + legacy/v2 modules | #2868 | Open |
| microsoft/autogen | Fixed MessageFilterAgent ordering by config instead of chronological order | #7981 | Open |
| google/adk-python | OpenTelemetry dependency upper bound <=1.42.1 to <=1.43.0 (LGTM'd) | #6426 | Open |
| PyCQA/bandit | B905 plugin: Flask send_file() path traversal detection |
#1459 | Open |
| mcp-safeguard | Replicate + Cohere API token detection rules (CRED-027, CRED-028) | #8 | Open |
| guardrails-ai/guardrails | Modernized Python typing annotations to built-in generics | #1581 | Open |
| agentic-radar | Rich dependency upper bound <14.0.0 to <15.0.0 | #131 | Open |
Languages: Python (primary), C++, JavaScript, TypeScript, SQL AI/ML: PyTorch, TensorFlow, scikit-learn, NumPy, Pandas, LangChain, LangGraph Security: Garak, Bandit, Semgrep, MCP security scanning, OWASP Top 10 for LLM & Agentic AI Infrastructure: Docker, Git/GitHub, FastAPI, MongoDB, MySQL, CI/CD, GitHub Actions
Open to collaboration on AI security tooling, MCP security research, and multi-agent system hardening.