Projects I've designed and built — from agentic AI pipelines to scalable backend services.
Multi-agent RAG system for manufacturing Q&A achieving 90%+ retrieval accuracy. Router → Retriever → Generator pipeline answering queries from equipment manuals and safety SOPs — fully offline, zero cloud dependency.
Conversational workout tracker with sub-second intent extraction via Gemini Flash. Log exercises in natural language and query history semantically — 'What did I train last Tuesday?' — with ChromaDB vector retrieval.
Enterprise RAG system handling 10K+ document pages with Azure AI Search. Hybrid retrieval (BM25 + semantic) reduced hallucinations by 85% while maintaining sub-2s response times. Source-attributed answers via GPT-4.
Paper-accurate implementation of Mindscape-Aware RAG (arXiv:2512.17220) achieving +12% recall over baseline retrievers. Uses MiA-Emb-0.6B with hierarchical summarization and residual score fusion for context-enriched retrieval.