I build LLM agents and RAG architectures that ship to production and deliver measurable ROI. 8 years of experience building ML systems for companies from $50M startups to $3.7B enterprises.
Book a Discovery CallProduction RAG system for customer support — handles conversational queries across HR compliance documentation spanning employment laws, payroll regulations, and country-specific requirements
Resolved critical architectural bottlenecks blocking launch. System now serves enterprise customers across 60+ countries.
RAG agent for customs law compliance — calculates fees and tariffs for imported/exported goods, answers regulatory questions, grounds all answers in European customs law documents
AI agent now sold as a revenue-generating product feature. Helped client win a government contract.
LLMOps foundation and AI-driven ticket handling system for customer support automation
Reduced customer support automation errors by 40% through systematic LLMOps practices.
Retrieval-augmented generation for customer support, internal knowledge, compliance documentation. Hybrid search (BM25 + vector + reranking), citation grounding, abstention when uncertain. Built for accuracy, not just answers.
Multi-step AI agents orchestrated with LangGraph. Query classification, specialized workflows, structured outputs. Production-ready with error handling that keeps edge cases from crashing your customer experience.
Search ranking, entity resolution, vector databases (Weaviate, Pinecone, OpenSearch). Learning-to-rank systems. Make your search results actually relevant.
LLMOps foundations: evals, monitoring with LangSmith, streaming APIs (FastAPI + WebSockets), scalable deployment on AWS/GCP. Systems that don't break at 2am.
Skip the agencies that build demos. Let's build a system that runs in production and delivers measurable results.
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