Siddique khan

Lead AI Engineer and Agentic AI Architect with 8+ years of experience shipping production-grade AI and full-stack applications. Own end-to-end AI feature delivery, from architecture through production deployment, with deep focus on reliability, observability, and economic viability. Expert in LLM orchestration and agentic workflows: RAG pipelines with hybrid retrieval and reranking, tool calling, intent routing, memory management, structured outputs (Zod/JSON), and policy enforcement using LangChain, OpenAI, and Anthropic Claude. Experienced with MLOps practices including prompt versioning, evaluation-driven delivery, canary releases, feature flags, and production observability with distributed tracing and SLOs. Leverage AI-first development workflows using Claude Code and Cursor for context engineering and high-velocity delivery. Apply AI where it adds measurable business value, and default to rule-based or NLP/regex solutions when they are more reliable and cost-effective.