Draft:Ekemini Thompson
Nigerian AI Engineer
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Ekemini Thompson is a Nigerian artificial intelligence researcher, machine learning engineer, journalist, and author. He works as an AI Research Engineer at vergelAI and holds a Master of Science in Software Engineering from Godfrey Okoye University, Nigeria. He also serves as Senior Political Correspondent at Kebbi Daily News.[1]
Submission declined on 15 April 2026 by HitroMilanese (talk).
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Background and Education
Thompson studied Computer Science and Mathematics, and holds a Master of Science degree from Godfrey Okoye University in Enugu, Nigeria.[2] He is also listed as a graduate student affiliated with Obong University on Academia.edu, where his academic supervisor is noted as Dodi Igobi.[3] His Google Scholar profile identifies him as a Machine Learning Engineer with expertise in AI solutions, affiliated with Godfrey Okoye University, with a verified institutional email at Kebbi Daily News.[4]
Professional Career
AI Research Engineering
Thompson works as an AI Research Engineer at vergelAI, a Nigerian AI company, where his focus areas include brain-computer interfaces, AGI alignment frameworks, quantum neuromorphic computing, and scalable machine learning systems.[5] His GitHub profile describes him as a Machine Learning Engineer working in generative AI, multimodal systems, and ethical AI, and notes he is a PhD candidate in Computer Science.[6]
Journalism
Thompson serves as Senior Political Correspondent at Kebbi Daily News, a Nigerian news outlet, where he has published fifteen articles covering topics including technology, governance, politics, and economics. His published articles include commentary on artificial intelligence industry developments, Nigerian policing, cryptocurrency, and international affairs.[1] He has also written on technology topics for Medium since 2019.[7]
Research
Thompson's research spans multiple areas of artificial intelligence and computing. His ResearchGate profile lists several publications and preprints:[8]
Quantum Neuromorphic Computing for Adaptive Exascale Systems (May 2025) — a preprint proposing a hybrid framework that integrates quantum entanglement with spiking neural networks to achieve adaptive, exascale computing performance.[9] Holographic Neural Interfaces for Augmented Cognitive Systems (May 2025) — a preprint exploring holographic neural interfaces for real-time cognitive augmentation in exascale computing environments.[3] A Multimodal AI Chatbot for Scientific Query Processing (August 2025) — presenting a chatbot integrating DistilBERT for text processing and BLIP for image captioning, built using Python, Flask, and Hugging Face Transformer models.[8] Domain-Adaptive Fine-Tuning of Llama-3-8B for Aviation Question-Answering — a paper employing Low-Rank Adaptation (LoRA) to fine-tune a large language model for aviation-specific question-answering, achieving a ROUGE-L factuality score of 0.502 and a 100% safety refusal rate on adversarial queries.[3] AI-Driven Automated Fitness-to-Fly Assessment for Pregnant Air Travelers — a paper presenting a production-ready machine learning microservice framework for automated pregnancy fitness-to-fly assessments.[3] A Multilevel Computational Framework for Brain Disease Prediction (June 2024) — a conference paper presenting a system using genomic, clinical, imaging, biomarker, behavioural, and environmental data to predict brain diseases.[8]
Engineering Projects
Thompson has publicly documented several applied AI engineering projects on the DEV Community platform and GitHub:[10]
An ML microservices platform called Pregnancy Fit-to-Fly, built with FastAPI, Node.js, Docker, scikit-learn, and XGBoost, designed to automate medical fitness-to-fly certificate issuance for pregnant passengers.[11] A real-time browser-based object detection system using TensorFlow.js and the COCO-SSD model, running inference entirely client-side.[5] A predictive traffic management system using Random Forest and Linear Regression models.[12] An automated customer support system using NLP and TensorFlow for response classification and routing. An aircraft engine predictive maintenance system with Docker and CI/CD pipelines. A real-time credit card fraud detection system using FastAPI.
Books
The Great Fragmentation (2026)
In April 2026, Thompson published The Great Fragmentation: Why America Feels Broken, Why Both Parties Are Failing and How to Come Back Together as a Kindle ebook through Amazon Kindle Direct Publishing.[13] The book addresses American political polarisation, arguing that a record 45 percent of Americans identifying as political independents in 2025 reflects a collapse of trust in both major parties. Thompson frames the political divide around two competing worldviews he terms "Liberal Logic" and "Red Realities," and argues that an integration of empathy and realism is needed to address issues facing working families, small businesses, and young voters.[13] A press release for the book was distributed through EIN Presswire and republished by several outlets including National Today.[14]
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