Multi-Agent Financial RAG System
Enterprise-grade financial analysis platform using multi-agent orchestration, vector search, and LLM reasoning for intelligent document processing and insights generation.
Building intelligent systems that transform data into decisions
Driven by a passion for artificial intelligence and a commitment to solving real-world problems, I specialize in building production-ready ML systems, LLM applications, and intelligent automation solutions. With an MSc in Computer Science and hands-on experience across fintech, healthcare, and logistics domains, I bridge the gap between cutting-edge AI research and practical implementation.
My work spans the full ML lifecycle—from data engineering and model development to deployment and monitoring. I'm particularly focused on Generative AI, building RAG systems, fine-tuning language models, and creating agentic workflows that augment human capabilities.
Enterprise-grade financial analysis platform using multi-agent orchestration, vector search, and LLM reasoning for intelligent document processing and insights generation.
AutoML-powered forecasting system with multiple model architectures, automated feature engineering, and real-time prediction capabilities.
Full-stack document processing application with OCR, entity extraction, classification, and intelligent search powered by transformer models.
End-to-end audio analysis system combining speech recognition with multi-modal sentiment analysis for customer experience insights.
Computer vision system for automated quality control and defect detection in manufacturing using deep learning and image classification models.
GenAI & ML Solutions
2024 - PRESENT
Building production-grade ML systems and LLM applications. Specializing in RAG architectures, multi-agent systems, and end-to-end ML pipelines for financial and enterprise clients.
Software Development Tutor
2019 - 2023
Designed and delivered comprehensive curricula in JavaScript, React.js, Python, Java, and modern frontend engineering practices. Led live sessions, hands-on workshops, and mentored over 200 NYSC members and aspiring developers across multiple countries in mastering programming skills from beginner to expert level.
Coventry University
2024
Advanced studies in machine learning, artificial intelligence, and software engineering. Thesis focused on applying ML techniques to real-world business problems.
Professional Development
ONGOING
AWS Machine Learning, DeepLearning.AI specializations, LangChain for LLM Application Development, and various ML/AI certifications.
Whether you need a custom ML solution, LLM integration, or want to discuss AI strategy for your business—I'd love to hear from you.