Resume-backed examples of AI SaaS, edge LLM deployment, and confidential enterprise multi-agent/RAG systems.
A B2B virtual try-on direction that brings 3D generation, AI sizing, and product intelligence into e-commerce workflows.
Role
AI/backend systems engineer
A voice-first health assistant designed for multilingual, low-connectivity support with quantized local AI deployment.
LLM fine-tuning and edge deployment
Production AI workflows combining multi-agent reasoning, advanced RAG, deterministic API calls, and scalable backend infrastructure.
AI Systems & Backend Engineer at CCRIPT
An open, production-oriented RAG platform that moves beyond single-vector-database demos. Combines secure PDF ingestion, structure-aware chunking, exact deduplication, hybrid search, reranking, grounded citations, bounded tool use, SSE streaming, observability, and cloud deployment assets.
Platform architect and full-stack engineer