I build production-grade AI systems — multi-agent platforms, LLM-powered automation, and intelligent data tools — end to end, from architecture to deployment.

What I Build
Agentic AI Systems
Multi-agent platforms with strict separation of agents, tools, and connectors. I design stateless agents, orchestration layers with policy/guardrails (OPA), tool registries, and full observability — not just scripts, but enterprise-ready architectures.

Text-to-SQL / Natural Language Analytics
Intelligent SQL agents that convert plain English questions into accurate database queries. Features include semantic caching (Qdrant), AST-based security enforcement, EXPLAIN-based query plan analysis, ReAct retry loops, self-improvement pipelines, and automatic chart/visualization planning.

RAG Pipelines & Vector Search
End-to-end Retrieval-Augmented Generation systems: embedding pipelines, vector store integration (Qdrant, Pinecone), semantic deduplication, few-shot example retrieval, and TTL-aware caching for production performance.

Business Intelligence Agents
Forecast agents, inventory insight agents, stock analysis, and visit/sales analytics — LLM-powered agents that talk to real ERP and warehouse data (Odoo/Nexus, PostgreSQL materialized views) and return structured, visualization-ready results.

LLM Infrastructure & Prompt Engineering
Provider-agnostic LLM layers (OpenAI, Anthropic, Ollama), prompt guard / injection detection, structured output validation, chain-of-thought reasoning, and self-evaluating correction loops.

Automation & Integration
Email drafting agents, CRM tools, catalog connectors, multi-tenant API platforms (FastAPI), access control with rate limiting, and auth middleware.

Tech Stack
Layer Tools
LLMs OpenAI (GPT-4o), Anthropic (Claude), Ollama (local)
Vector / RAG Qdrant, text-embedding-3-large
Databases PostgreSQL, asyncpg, materialized views
Frameworks Python, FastAPI, LangChain, custom agent runtimes
Infrastructure Docker, Kubernetes, Terraform
Policy / Security OPA/Cedar, AST-based SQL scope enforcement

Why Work With Me
I build systems that are production-hardened, not proof-of-concept demos — with caching, retries, timeouts, access control, and observability baked in.
I think in architectures, not just prompts — your agents will scale, be auditable, and be maintainable by a team.
I move fast: async-first Python, clean schemas, and no unnecessary abstractions.
I've built multi-tenant platforms where agent behavior, data access, and LLM costs are all governed and traceable.