AI Engineer & Researcher
PhD researcher building AI products that solve real-world problems. From energy forecasting to condition monitoring to develpment of literature review tool, turning research into impact.
I'm a PhD researcher in Computer Systems Engineering at Brunel University London, investigating Minimum Value Datasets for AI applications. I graduated with a First Class BEng (Hons), followed by a one-year placement at the Brunel Innovation Centre in Cambridge, where I worked on cutting-edge AI projects spanning terahertz imaging, supply chain optimisation, and contraband detection.
Beyond research, I build products. I helped develop Khutba Labs, an AI-powered real-time translation platform for Islamic communities, and created PaperSynapse, a tool that helps systematic literature reviews using AI. I'm driven by the belief that technology should bridge gaps, whether in language, knowledge, or access.
AI-Powered Real-Time Translation for Mosques
Lisaan AI translates live khutbas and Islamic lectures into 30+ languages simultaneously with context-aware understanding of Islamic terminology, Quranic verses, and Hadith references.
Visit khutbalabs.com →AI-Powered Systematic Literature Review
Automates extraction and analysis of data from academic papers using AI. Imports from Scopus, PubMed, IEEE and more. Interactive analytics, AI chat, and customisable fields cut review time from 40+ hours to minutes.
Visit papersynapse.com →More coming soon
Open to collaborations, research opportunities, and interesting conversations.