Sean Afam Efuna

Led the design and implementation of Maxibook’s AI architecture, integrating adaptive learning intelligence, semantic knowledge mapping, and real-time content generation. Directed a cross-functional team of data scientists and AI engineers to develop modules for conversational onboarding, knowledge-gap analysis, and evaluative intelligence. Built domain-specific AI solutions powering personalized learning experiences—from chatbot-based onboarding to dynamic learner maps and adaptive content feeds. Collaborated with backend and infrastructure teams to deploy a scalable architecture on Firebase, Firestore, .NET Core, and Google Gemini APIs. Applied NLP and semantic analysis to enable contextual comprehension assessment and automated feedback across multiple learning domains. Hosted internal and public tech sessions to demonstrate AI-driven adaptive education, engaging stakeholders and potential partners.

Led a World Bank-funded IDEAS Programme project, facilitating a Data Science course focused on technical skill acquisition, training over 100 participants in data cleaning, exploratory data analysis (EDA), machine learning, and feature engineering. Developed automated pipelines for speech-to-text data processing in local Nigerian dialects, optimizing data cleaning and preparation for ASR model training. Designed and implemented scalable machine learning workflows for speech recognition applications.

Developed and optimized automatic speech recognition (ASR) models for low-resource Nigerian languages; architected and fine-tuned deep learning models for speech-to-text applications, leveraging self-supervised learning, transformer-based models, and language modeling techniques. Designed and implemented AI-powered content generation systems for learning management systems (LMS), automating educational content delivery. Built and deployed domain-specific conversational AI models for healthcare, finance, and beauty industries.