Itunu Ijila

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About Me

Itunu Ijila

AI Engineer & Machine Learning Researcher

I build AI systems that run in production, not just in notebooks. My work spans LLM integration, RAG and agentic workflows, conversational AI, NLP pipelines, and the full-stack applications (Python, TypeScript, React, Node.js) that put them in front of real users. Recent work includes a WhatsApp maternal health assistant serving 1,000+ users and client automations that remove 30+ hours of manual work per month.

I hold an MSc in Artificial Intelligence and Data Science, co-authored a peer-reviewed machine learning paper in IOP Publishing's Machine Learning: Earth, and write a regular AI column at TheCable. I am a Member of the British Computer Society (MBCS).

LLM Systems
Natural Language Processing
Machine Learning
AI Automation
Full Stack Development

Technical Skills

AI & Machine Learning

  • LLM Integration (OpenAI, Gemini, Azure OpenAI)
  • RAG & Agentic Workflows
  • Natural Language Processing
  • Conversational AI
  • Predictive Modeling & Model Evaluation
  • Text Summarization

Data Science

  • Python (NumPy, Pandas, SciPy)
  • Data Visualization (Matplotlib, Seaborn)
  • SQL & NoSQL Databases
  • Statistical Analysis
  • ETL & Data Pipelines
  • Big Data Processing

Web Development

  • JavaScript, TypeScript & React
  • Node.js & Express
  • HTML5 & CSS3
  • RESTful API Design & Integration
  • Flask & Django
  • Responsive Design & Accessibility

AI Tools & Platforms

n8n
Az
NLP

Professional Experience

AI Automation Engineer (Consultancy)

2025 - Present

Advance Training & Consulting, Hull

  • Architect and deploy end-to-end AI systems for client businesses, improving operational efficiency by up to 40%
  • Built the AiBL Intelligence Engine, an automated reporting pipeline (n8n, OpenAI, PostgreSQL) turning raw business data into client-ready PDF reports
  • Built IntelliScan, a SaaS analytics dashboard (React, Node.js, Supabase, PostgreSQL) with real-time workflow reporting
  • Integrate AI automation into business workflows, removing 30+ hours of manual work per client each month

AI Lead (Healthcare)

Jan 2024 - 2025

Solayo Africa

  • Led development of an AI-powered maternal health assistant serving 1,000+ users over WhatsApp
  • Designed and deployed the conversational AI architecture, cutting response latency by over 70%
  • Built AI workflows aligned with clinical protocols for safe, reliable outputs in a healthcare setting

AI-Focused Software Engineer

Jan 2023 - Present

Hull University Students' Union, Hull

  • Design and deploy web systems serving thousands of students, including campaign landing pages and a redesigned feedback platform
  • Build and maintain backend systems handling sensitive student data under secure coding practices
  • Develop RESTful API integrations supporting web and mobile applications
  • Ship production releases in an Agile environment using Azure DevOps

Software Developer

Sep 2022 - Jan 2023

University of Hull

  • Implemented features across a React/MERN stack application with RESTful APIs, contributing to API testing and documentation
  • Migrated a legacy codebase from Heroku to a self-hosted server within an Agile sprint cycle

Web Developer

August 2020 - Jul 2022

Innovative Photography

  • Designed, developed, and maintained the company website with multimedia integration and cross-browser compatibility
  • Conducted security audits and translated client requirements into technical specifications

AI Projects

A selection of AI, machine learning, and NLP projects, from production systems to research builds

OrekaBot: Mental Health AI

A conversational mental health chatbot with context-aware responses, conversation state management, and ethical safety constraints, powered by the OpenAI API.

NLP OpenAI React Conversational AI
View Project

EmailInsight: AI Summarization Tool

NLP-based email summarization system processing 500,000+ records from the Enron Email Dataset, with action item extraction.

Text Summarization NLTK spaCy Python
View Project

Savvy Sam: AI Stock Predictor

A financial prediction application that leverages machine learning to forecast stock market trends using the Polygon API and OpenAI.

Machine Learning Time Series OpenAI Python
View Project

SmartVision: Object Detection App

Real-time object detection and classification system using computer vision and deep learning techniques.

Computer Vision PyTorch YOLO OpenCV
View Project

MarketPulse: Sentiment Analyzer

Social media sentiment analysis tool for market trends and brand perception using advanced NLP techniques.

Sentiment Analysis BERT Transformers FastAPI
View Project

EduBot: Personalized Learning AI

An AI-powered educational assistant providing personalized learning paths and adaptive content recommendations.

Reinforcement Learning Flask MongoDB
View Project

Education

MSc in Artificial Intelligence and Data Science

University of Hull

2021 - 2022

Specialising in neural networks, natural language processing, and applied AI.

  • Key modules: Deep Learning, Natural Language Processing, Big Data Analytics, Data Mining

BSc Physics

Obafemi Awolowo University

2008 - 2013

Quantitative foundation in mathematical modelling and data analysis that now underpins my machine learning research.

Certifications & Memberships

Azure AI Fundamentals

Microsoft

Generative AI Leader

Google

AI Engineer

Scrimba

Member (MBCS)

British Computer Society

Publications & Recognition

Assessment of Power Law Limitations and Hub-Height Wind Speed Estimation Using Machine Learning Techniques in a Tropical Location

Peer-reviewed

Machine Learning: Earth, 2(1), 015006 · IOP Publishing, 2026 · with S. Ogunjo, O. Ojo & A. Adediji

Applies machine learning techniques to hub-height wind speed estimation for wind energy assessment in a tropical location, evaluating the limitations of the traditional power law method.

Read Paper

Artificial Intelligence, Knowledge Accessibility, and the Democratisation of High-Quality Research

Working paper

SSRN, 2026 · with O. Obasa, P. Obasa & T. Obasa

Examines how AI changes access to the intellectual practices behind high-quality research, particularly for researchers in low- and middle-income countries, and analyses structural contradictions in academic publishing.

Read Paper

AI Columnist at TheCable

Ongoing column

TheCable, 2025 - present

Regular column on applied AI, covering AI trust and human oversight, practical AI for small businesses, and how AI reshapes competitiveness.

Read the Column

Keynote, PyData Hull (May 2026)

"Beyond AI Demos: How to Build Production-Ready AI Systems for Real Businesses"

Nelson Mandela Leadership Award (2026)

West African Youth Council, recognising AI leadership in maternal health through Solayo Africa

Get In Touch

Interested in working together? Reach out for collaborations, speaking, or consulting.

Contact Information

Location

Hull, United Kingdom

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