AI/ML case studies with the technical decisions, trade-offs, and production constraints behind each build.
An autonomous multi-agent system built with LangGraph to automate financial research, trend analysis, and recommendation generation.
An end-to-end RAG pipeline for domain-specific document intelligence, featuring hybrid retrieval and cross-encoder re-ranking.
A full machine learning lifecycle implementation for credit risk modeling, deployed across 12+ financial institutions.
An automated invoice processing pipeline using Azure Document Intelligence and LLM-based entity extraction.