Nabil Mosharraf Hossain

My research sits at the intersection of Islamic technology, applied AI, and natural language processing, with a focus on building tools that serve Muslim communities at scale.

As co-founder and CEO of Greentech Apps Foundation (GTAF), a UK-registered charity serving over 13 million users globally, I lead applied research across three areas: Quranic & Islamic NLP — including Wav2Vec2-based Quranic ASR for real-time recitation tracking and automated Seerah-Hadith mapping using LLMs and vector search; AI Infrastructure for Islamic Apps — LLM-powered customer support automation, Quranic audio segmentation, and knowledge graph generation; and User Behaviour & FaithTech Analytics — surfacing insights from over 50,000 real user reading plans.

A thread that runs through all my work is a deep interest in optimisation — finding the bottleneck and eliminating it. This shows up everywhere: reducing a Quran word-by-word view from seconds to milliseconds using custom rendering, shrinking an Android app from 21MB to 4MB, cutting a photo picker load from 4 seconds to 150ms through coroutines and lazy batching, improving a job platform's home screen by 25%, or applying the Needleman-Wunsch algorithm to align audio with text at word-level precision. The domain changes; the instinct to ask "why is this slow, and what's the minimum needed to fix it?" doesn't.

MSc Computer Science from University Malaya. My publications are available on ResearchGate as open-access preprints.