About
I am a software engineer working toward research in artificial intelligence and robotics. My interest is in systems that have to operate in the physical world: agents that perceive an environment, build some representation of it, reason about what to do, and then act — where being wrong has consequences that a benchmark score does not capture.
I came to this from building software rather than from a research group, and I am explicit about what that means. Engineering gave me the ability to build and operate non-trivial systems, which is most of what an experimental pipeline turns out to be. It did not give me the mathematical and methodological preparation that research requires, so I am building that deliberately and in public — implementations I wrote, experiments I ran, and notes on the parts I got wrong.
This site is the record of that. It is intentionally sparse rather than padded: everything on it should lead to code, an experiment, or a document you can check.
Research interests
These are the areas I am currently exploring. They are interests rather than claims of expertise, and I expect them to narrow as the work gives me a reason to narrow them.
- Embodied AI
- How intelligent agents can perceive, reason about, and interact with physical environments.
- Robot Learning
- Learning policies and representations for perception, navigation, manipulation, and control.
- Computer Vision
- Visual perception and representation for autonomous systems.
- Autonomous Systems
- Systems capable of sensing, planning, decision-making, and action.
- Multimodal Intelligence
- Combining vision, language, sensor observations, and action.
Adjacent territory I read in but am not yet focused on: machine learning, robotics, state estimation, planning, reinforcement learning.
Current focus
My current work is the foundational phase of a research programme beginning in August 2026: mathematics for intelligent systems, state estimation and rigid-body geometry, machine learning implemented from first principles, and reproductions of published baselines in perception and navigation. The intent is to reach the point where I can formulate a research question precisely enough to answer it with controlled experiments.
For what I am working on this month specifically, see what I’m doing now. For the programme itself — how I intend to work, and what will be published — see Research.
Engineering background
Before focusing more deeply on AI and robotics research, I worked across full-stack systems, AI infrastructure, distributed systems, developer tooling, and production software. That background is the reason I approach research as a systems problem as much as a modelling one.
- Obelo — AI Systems & Multimodal Content Infrastructure (Founder / Lead Engineer) — Designed and developed a production AI platform combining multimodal generation, retrieval-augmented context, asynchronous orchestration, model routing, and evaluation systems.
- SPay Business — Mobile & Financial Systems Engineering (Software Engineer) — Worked on production mobile-financial systems, including authentication improvements, application performance, interface redesign, CI/CD automation, and over-the-air mobile deployments.
The detailed history is on the CV.
Education
- Babcock University · 2019 — 2023
BSc (Hons) Software Engineering
Ilishan-Remo, Ogun State, Nigeria
Relevant coursework: Algorithms and Data Structures; Discrete Mathematics; Introductory Statistics; Introduction to Operations Research; Artificial Intelligence and Applications; Introduction to Big Data Engineering; Computer Organization and Assembly Language; Operating System I; Database System Design, Implementation and Management.
Contact
I am interested in research collaborations involving embodied AI, robot perception, autonomous systems, and multimodal learning. Contact details are on the contact page.