I transform complex business data into intelligent, production-ready AI systems that drive measurable ROI. As a specialist in RAG (Retrieval-Augmented Generation) and autonomous agent architectures, I help organizations automate expert workflows and reduce operational costs by up to 40%.
I don’t just build models; I engineer reliable systems:
Advanced RAG Pipelines: Improved retrieval accuracy from 20% to 90% using hybrid search (BM25 + Vector) and cross-encoder reranking.
Multi-Agent Ecosystems: Architected LangGraph-based systems for automated financial analysis and fraud detection.
Cost Optimization: Reduced vector storage expenses by 30-40% through chunk-level deduplication and metadata isolation.

The Core Services:
Deterministic Retrieval Engines: Production-grade RAG with 100% data consistency and sub-300ms latency.
LLM Orchestration: Custom multi-agent workflows (LangGraph, LangChain) for complex reasoning tasks.
AI Backend Engineering: Scalable FastAPI microservices with Docker, Kubernetes, and AWS/OCI deployment.

The Experience] With a strong background in AI Backend Engineering and multiple OCI/Databricks certifications, I ensure your AI solutions are not just innovative, but secure, scalable, and production-ready from day one.

Ready to move your AI project from prototype to production? Click "Message" to discuss your roadmap and how we can achieve a 10x return on your AI investment.