Olorundara Akojede

Biomedical engineer · Researcher · Lagos, Nigeria

I conduct research and design systems to address scientific needs.

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.

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Research & Engineering

Research in progress

Independent research · 2026–present

Energy measurement for edge inference

This study examines when operation counts cease to be reliable predictors of neural-network inference energy. The completed Raspberry Pi phase contains 258 valid trials across 43 models and two precisions. MAC count tracked broad energy scaling, but closely matched standard/depthwise pairs differed by 32.0%–49.5% in measured board-input energy. ESP32-S3 measurement is the next cross-platform phase.

Raspberry Pi experiment complete; microcontroller phase in progress.

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Biomedical device

UNILAG Design Studio · 2022–2024

IncuBed

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.

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Scientific instrument

Rice OEDK · 2024

AquaBot

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.

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Public-health device

UBORA × UNECA · 2020

Automated hand-washing and sanitizing system

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.

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Research in progress

Independent research · 2026–present

Execution-verifiable safety evaluations for tool-using AI agents

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.

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About

I am a product of the pioneering set of the Department of Biomedical Engineering, 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? I would like to continue exploring this question through research in biomedical instrumentation.

My ongoing 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.

Research interest
Biomedical instrumentation and resource-aware embedded systems
Methods
Engineering design and iterative prototyping, CAD and fabrication, embedded control, experimental measurement

Education

BSc, Biomedical Engineering

University of Lagos · 2024

Undergraduate thesis: AI Quilliri, a healthcare-focused language-model application developed with attention to privacy and responsible use.

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Relevant Experience

2025–2026

Developer Relations Intern

Solana Foundation · Remote

Developed technical content and knowledge bases, and built Rust tooling intended to improve developer workflows.

2022

Design Studio Intern

Rice360–UNILAG

Co-developed the IncuBed prototype. Individual technical work included CAD, fabrication, circuit wiring and embedded programming.