Not a biography. A story about a classroom, a long-held dream, an Android tablet, and what happens when an educator who always wanted to solve classroom problems with technology finally finds the tools to do it.
My career began in a secondary school classroom in 2009 — chalk in hand, students in front of me, and more questions than I had been trained to answer. I taught Mathematics, Further Mathematics, Physics, and Chemistry across JSS1 to SSS3 level. Fifteen years. Thousands of students. Countless exam seasons. Multiple schools across Lagos and Ogun State.
Teaching gave me something that no data science bootcamp teaches: the ability to truly understand how someone else is thinking. When a student gets something wrong, there is always a reason — and finding that reason requires patience, observation, and a willingness to approach the same problem from a completely different angle. I use that skill every single day I build something with data or technology.
I also learned — up close and personally — where the Nigerian education system genuinely struggles. The reliance on paper. The manual marking. The lack of reliable digital tools for ordinary teachers. The absence of data about what students actually know versus what they have memorised. Those problems planted seeds that have grown into every project I have built since.
"Teaching taught me that the hardest part of any problem is rarely the solution. It is understanding the problem clearly enough to know what kind of solution is even possible."
Also tutors on: Tuteria · Prepclass · Gate Academy · Dolessons
Long before I wrote a single line of code, I had a clear ambition: to solve classroom and school problems with technology. It was not a new idea. It had been with me for years, growing stronger with every paper-based exam I supervised, every student I watched struggle with tools that were not built for them, every manual process that could have been automated.
That ambition is precisely why I went back to university — years after finishing secondary school — to study Computer Science Education at Lagos State University. I believed formal education would give me the technical foundation I needed to build the solutions I could see so clearly in my mind. I graduated in 2023. But the full clarity — the practical problem-solving capability I had been seeking — did not arrive at graduation.
It arrived in 2025, when I joined the 3MTT programme and began studying data science. Something unlocked. My inquisitiveness deepened. My ability to observe problems clearly, frame them precisely, and build structured solutions — that is when everything came together. The classroom problems I had been watching for fifteen years suddenly had pathways to solutions I could actually build.
The first major build was CBT Pro — a full web-based exam platform I constructed on my Android tablet with no laptop, no development background in web technology, and zero budget. I was not a web developer. I used data science thinking and AI as a collaborator to operate in an unfamiliar technical field — precisely the kind of problem-solving that teaching had prepared me for across fifteen years. It went through broken versions, late nights, and many moments of doubt. And then real students sat a real exam on it. That was the moment everything changed.
"The constraint is not the obstacle. The constraint is the brief. I did not wait to become a web developer. I used what I understood about thinking clearly and built the tool my students needed anyway."
My formal tech journey began with the 3MTT programme in 2025 — Data Science track. That was the catalyst. Before 3MTT, I had the problems clearly identified and the desire to solve them. After 3MTT, my problem-solving instincts, curiosity, and technical capability aligned into something I could actually deploy and ship.
I am not a web developer who picked up data science. I am not a data scientist who dabbles in teaching. I am a data scientist and educator who uses AI fluency to operate confidently in any technical domain — building solutions that go beyond what data science alone would produce. I have used HTML, CSS, JavaScript, Supabase, and cloud platforms — not because I trained in them formally, but because I understand problems clearly enough to direct AI to help me build in new environments. That is what makes the AI-Augmented identity real: it is not just a title. It is a working method.
Between programmes and teaching, I deployed 10+ projects — ML models across seven industries, an NLP fake news detector, EdTech analytics tools, and a live CBT platform. I enrolled in WorldQuant University's Applied Data Science Lab, completed cohort programmes with the Data Scientists Network, and earned the role of SkillBuild Hub Ambassador. I am actively deepening my knowledge — Deep Learning Fundamentals is next.
The EdTech projects are not coming eventually — they are already live and being used. Student Performance Tracker. CBT Question Bank Manager. And more on the roadmap. All of them built for the same classrooms I have been standing in since 2009.
"Data science taught me that if you can think through a problem clearly, you can find a path to a solution — even in unfamiliar territory."
Founded in 2015, HMG Concepts began as a tutoring service and has grown into a multi-subsidiary educational organisation. The name reflects a genuine conviction: every breakthrough I have experienced — in the classroom and in technology — has arrived as a result of grace I did not engineer on my own. I just kept showing up and doing the work.