Biomedical engineer · Researcher · Lagos, Nigeria
My work combines needs-driven engineering, physical prototyping and embedded computing. My research interests centre on biomedical instrumentation and embedded systems shaped by defined user needs and practical deployment requirements.
01
This study examines when operation counts cease to be reliable predictors of the energy consumed by neural network inference. A thorough qualitative analysis has been made on static predictors of the 43 trained and converted deployable TensorFlow Lite artifacts from a controlled model corpus. The next phase measures board-level inference energy and compares it with arithmetic and runtime indicators across different execution systems.
In active progress.
This project studies the gap between what an AI agent reports and what it does through external tools. The proposed evaluation environment records attempted actions, executed effects and state changes independently of the agent allowing transcript-based judgments to be compared with verifiable execution evidence.
Current stage: research design and evaluator specification.
A neonatal incubator prototype developed in response to equipment maintenance and power constraints observed in Nigerian healthcare. The work progressed from clinical needs assessment through concept selection, CAD, fabrication and embedded thermal control.
An automated surface-water sampler designed for daily, contamination-conscious collection in the Lake Houston watershed. The integrated prototype combined fluid handling, indexed sample storage and embedded electromechanical control.
A contact-reducing hygiene station developed during the UBORA biomedical engineering boot camp. Sensors controlled water and cleaning-fluid delivery, while stored water, battery operation and a foot-pedal mechanism allowed the system to remain usable during utility interruptions. The project was approved by its UBORA mentor.
02
I have a BSc in Biomedical Engineering from the University of Lagos. My work is organised around the engineering design process: how can an observed need be translated into requirements, developed into a technical system and evaluated against the conditions in which that system will be used, particularly for biomedical applications?
The question first took shape during the 2020 UBORA–UNECA boot camp, where an automated hygiene system was developed with backup modes for interrupted power and water supply. It continued through the development of IncuBed and later AquaBot at Rice University. My present hardware research applies the same thinking to edge inference, testing whether convenient complexity measures reflect the energy a deployed system actually uses. In parallel, my software research examines whether claims made by tool-using AI agents agree with independently recorded execution evidence.
Education
University of Lagos · 2024
Undergraduate thesis: AI Quilliri, a healthcare-focused language-model application developed with attention to privacy and responsible use.
Ethics training
CITI training in Big Data and Data Science Research Ethics and Artificial Intelligence and Human Subject Protections.
03
2025–2026
Solana Foundation · Remote
Developed technical content and knowledge bases, and built Rust tooling intended to improve developer workflows.
2024
Oshman Engineering Design Kitchen, Rice University
Co-developed AquaBot through a seven-week client-led process spanning requirements, prototyping, fabrication and stakeholder delivery.
2022
Rice360–UNILAG
Co-developed the IncuBed prototype. Individual technical work included CAD, fabrication, circuit wiring and embedded programming.
2020
UBORA Institute for Biomedical Engineers × UNECA
Led the development of a sensor-controlled hand-washing system with battery, water-storage and minimum-contact manual backup modes.