Maaz Waseem

I’m an AI Engineer with 1+ year enterprise production experience building LLM/RAG systems, document intelligence pipelines, and computer vision models. At Allied Bank, I shipped two AI systems serving 500+ employees, focusing on reliability, measurable performance, and governance-friendly integration. Before that, at Programmers Force, I built chip-level biometric identity verification and a deepfake detector that reached 93.59% accuracy.

At Allied Bank, I built ABL Muawin, a production RAG system (ChromaDB + DeepSeek R1) that reduced document lookup time by ~80% and integrated into a .NET internal portal within banking IT governance. I also developed DOC AI, an end-to-end Letter of Credit extraction pipeline (DocTR + Mistral-7B) that replaced months of manual multi-person workflow with automated field detection and validation.

I’m equally comfortable with end-to-end automation and fast deployment: EJ-ROLLS automates ATM Electronic Journal parsing and GL reconciliation, cutting turnaround from days to minutes. As Co-Founder and AI Engineer at Advenno, I built HIPAA-compliant, multi-modal wellness intelligence using GPT-4 and a real-time manufacturing intelligence platform with vendor-agnostic IoT. I build AI systems that ship—then iterate—until they’re accurate, low-latency, and useful for real teams.