Deep specialization in AI engineering across multiple regulated and high-stakes industries — pharma, banking, audit, retail, and transport.
Multi-agent architectures with scoped tool restrictions, Skills Cards patterns, and MCP integrations — automating complex multi-step workflows in enterprise environments.
Advanced retrieval pipelines for text and multimodal content — hybrid search, reranking, decomposition-based retrieval, and vision processing for complex documents with tables and figures.
Cost-aware LLM engineering with comprehensive evaluation frameworks — parsing quality, retriever performance, anti-hallucination robustness, and answer generation effectiveness.
AI systems built for industries where compliance, precision, and traceability matter — pharma (ICF generation, medical writing), banking (KYC, fraud), audit (document intelligence), retail (recommendation engines), and transport (customer support).
PhD in Applied Mathematics — stochastic differential equations, Lévy processes, Malliavin calculus. Years of pricing models and risk analytics at Société Générale, Thomson-Reuters, and RBC Dexia.
From FastAPI backends with full streaming architecture to Docker/K8s deployments and MLOps pipelines — shipping production-grade AI applications end-to-end on AWS, Azure, and GCP.