Hello, I'm
Qudus Abolade
ML/AI Engineer
Specialized in building intelligent systems that solve real-world challenges across healthcare, finance, and business operations.
Specialized in building intelligent systems that solve real-world challenges across healthcare, finance, and business operations.
I'm an AI Engineer with expertise in developing production-grade language and vision systems. Specializing in Retrieval Augmented Generation (RAG), multilingual NLP, and computer vision, I build solutions that address complex business challenges while delivering measurable results.
With a proven track record at Curacel, I've engineered intelligent systems for healthcare, customer service, and insurance automation. My technical foundation includes deep expertise in LLMs, computer vision, and full-stack AI development—from data preparation and model fine-tuning to API development and deployment.
My work sits at the intersection of artificial intelligence and practical business applications, focusing on creating systems that enhance productivity, improve decision-making, and deliver quantifiable impact. As a 2024 Nigeria Higher Education Foundation (NHEF) Scholar, I combine technical excellence with a commitment to meaningful innovation.
Building end-to-end AI systems that deliver measurable business impact
Specialized in multilingual NLP and advanced computer vision solutions
Applied experience across healthcare, insurance, finance, and academic domains
Advanced academic writing assistant that helps researchers and students streamline their thesis writing process.
An intelligent digital assistant for technical tasks including code documentation, bug fixing, and document analysis.
AI-powered study assistant that transforms PDF documents into interactive learning experiences with intelligent question generation and real-time feedback.
Real-time conversational AI assistant using WebRTC and OpenAI's API for speech-to-speech mental health conversations and support.
Implementation of neural style transfer to apply artistic styles to images using deep learning.
Neural network for handwritten digit recognition with high accuracy on the MNIST dataset.
AI system that identifies and flags potentially misleading news articles using NLP techniques.
Deep learning application that classifies images of flowers into their respective species.
Image classifier that identifies 133 different dog breeds using convolutional neural networks.
Intelligent chatbot leveraging a Retrieval-Augmented Generation (RAG) system to automate HR query resolution, leave/HMO management, and Slack analytics reporting, integrated with Google Drive, Sheets and Others.
LLM-powered conversational agent that automates insurance policy distribution and claims management with seamless image collection and document verification workflows.
Intelligent customer support chatbot featuring RAG that streamlines technical issue resolution and ticket management
Advanced Optical Character Recognition system specialized for Arabic text, leveraging PaliGemma vision-language models to accurately transcribe handwritten and printed Arabic documents with state-of-the-art accuracy.
Advanced medical document analysis platform that extracts diagnoses and ICD codes through an LLM fine-tuned on medical terminology. Using RAG architecture with multiple ICD standards support (ICD-10-CM/AM), it processes English and Arabic clinical documentation while providing accurate medical coding assistance.