PMP®·Founder, DataMastaros Ltd·AI Researcher
I design and deploy enterprise-grade machine learning systems — NLP, computer vision, and multimodal AI. Published at SPIE; and paper accepted for the NLP4Science Workshop at EMNLP 2024. Presented at Deep Learning Indaba. Secured $27,000 in research grants. Actively seeking remote & onsite AI/ML roles and PhD opportunities worldwide, with a preference for the USA and Canada.
I am a Senior AI/ML Engineer & Data Scientist and PMP®-certified project manager with deep expertise in designing intelligent systems that remain reliable under real-world conditions — noisy data, low-resource environments, and production-scale pressure.
My research challenges a central assumption in AI: that higher benchmark accuracy reflects genuine progress. I study reliability and representation theory in neural NLP, formalising the Golden Draw Effect and using functional decomposition to explain how hybrid representations govern robustness.
As Founder & Chief AI Officer of DataMastaros Limited, I translate AI research into practical solutions for businesses across Ghana and beyond. I have presented at Indaba X, Deep Learning Indaba, and SPIE, and serve as a peer reviewer for EMNLP MRL 2025 and SACAIR 2024.
Full-stack AI engineering — from raw data to deployed models, BI dashboards, and explainable systems.
Every project is live, publicly accessible, and built end-to-end — model training to production UI.
NLP, hybrid neural architectures, explainable AI, and AI adoption in emerging markets.
Hiring manager, research lab, or founder who needs AI expertise — reach out.
I bring 7+ years of production AI experience, a research publication track record spanning SPIE and EMNLP, $27k in secured research grants, and the project management discipline of a PMP® — an unusual combination for a technical role and a genuine asset for PhD programmes looking for candidates who can both publish and ship.