Real projects. Measured results. Explore our engineering work across AI retrieval systems, agentic workflows, and intelligent automation.
Enterprise retrieval-augmented generation system combining BM25 sparse search with dense vector embeddings and FlashRank cross-encoder re-ranking. Tested against a frozen 25-query golden benchmark set with measured delta scores.
LangGraph-powered stateful agent with human-in-the-loop review gates for enterprise support ticket triage. Classifies, routes, and drafts responses with mandatory human checkpoints before any customer-facing action.
Automated scoring pipeline that runs frozen golden benchmark sets against RAG systems, measuring retrieval recall, answer faithfulness, and refusal accuracy on impossible trap queries — generating before-vs-after delta scorecards.
Automated document ingestion, chunking, embedding, and indexing pipeline that transforms raw enterprise documents into searchable knowledge bases — with configurable chunk strategies and multi-format support.
Every project above was engineered from scratch. Tell us your challenge and we'll build the solution.