A collection of production-grade AI systems, RAG platforms, agentic workflows, and AI platform engineering projects I've designed and built.
Designed and built a production-grade Retrieval-Augmented Generation platform with enterprise security, hybrid data connectors, and multi-tenant guardrails.
Orchestrated agents for incident detection, triage, and auto-remediation at scale — with human-in-the-loop guardrails and full traceability.
Designed an end-to-end LLMOps platform with CI/CD, observability, and evaluation — a policy-aware control plane for routing enterprise AI workloads.
End-to-end pipeline for model versioning, automated evaluation, canary deploys, and rollbacks — treating prompts and models like code.
Built a unified stack to evaluate, monitor, and improve LLM application quality in production — traces, metrics, and human feedback in one loop.
Implemented hybrid retrieval with semantic re-ranking for higher precision and recall — dense + sparse fusion done right.
No case studies in this category yet.