Head of AI · Tech Lead · Python Developer
Building AI systems with a security & audit mindset.
- 🤖 Head of AI / Tech Lead — designing LLM-powered systems and agent tooling (MCP).
- 🚀 High-load backend & infrastructure — distributed systems, Kubernetes, observability & monitoring, CI/CD.
- 🛡️ Digital audit & AI security — zero-trust APIs, LLM red-teaming, secure authentication.
- 🎓 BSc, Information Security — Computer Systems Security @uniyar.
- 🐍 Python-first. Most of what I build runs on FastAPI + async Python.
Languages & Async
Web & API
AI / LLM
Vector & Graph Stores
Databases & Storage
Messaging & Tasks
DevOps & Infra
CI/CD & Code Quality
Observability
Frontend
- knowbase — Git-versioned, provenance-grounded knowledge layer extracted from a codebase, served to humans and AI agents via MCP.
- zta-internal-api-prototype — Zero-Trust architecture for internal APIs: mutual TLS, JWT, RFC 8705 certificate-bound tokens; FastAPI reference with a central PDP, attack demos and benchmarks.
- enhanced-jwt-safeguards — Secure authentication on FastAPI: JWT with rate limiting, revocation and refresh.
I work with and contribute to the open-source AI-security ecosystem: PyRIT · garak · NeMo Guardrails · LiteLLM · Giskard · OpenLLMetry

