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Ojo Adebowale

Ojo Adebowale

Biomedical Engineer | Machine Learning & Deep Learning Specialist

Talent
Abuja, Municipal Area CouncilMember since March 11, 2026
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About

Result-oriented Biomedical Engineer and Machine Learning Researcher with an advanced academic foundation from the Federal University of Technology, Akure. Specialized in bridging clinical engineering with cutting-edge AI solutions, including Medical Image Analysis, Deep Learning, and complex Biomedical Instrumentation. Proven track record of developing high-accuracy diagnostic software and maintaining critical life-support systems to advance global healthcare innovation.

Experience

Biomedical Field Engineer at Inscope Global Resources (2026-01 – Present)

  • Advanced Systems Engineering: Lead the on-site technical support, diagnostic troubleshooting, and precision calibration of complex biomedical instrumentation and radiological imaging systems.
  • Client & Hospital Outreach: Deliver rapid-response technical maintenance services across healthcare facilities, drastically minimizing equipment downtime and optimizing clinical workflows.
  • Regulatory Compliance: Execute rigorous hardware safety and performance inspections to guarantee 100% adherence to international clinical standards.

Biomedical Engineer at Neveah Technology Medical Services (2025-08 – 2025-12)

  • Full-Lifecycle Equipment Management: Oversaw the seamless installation, precise calibration, and component-level repair of advanced medical equipment to meet critical patient and hospital needs.
  • Technical Troubleshooting: Diagnosed and resolved sophisticated hardware and software faults in diagnostic machinery under tight clinical timelines.

I.C.T / Computer Studies Instructor at Federal Science and Technical College, Ohanso (2024-08 – 2025-08)

NYSC

  • Capacity Building: Spearheaded technical education initiatives and designed capacity-building workshops to retool teachers in modern digital pedagogies.
  • Curriculum Delivery: Instructed over hundreds of students in foundational and advanced computer science principles, significantly boosting regional digital literacy rates.

Data Science & ML Mentor at Google Developer Student Club (GDSC), FUTA (2024-03 – 2024-04)

  • Technical Mentorship: Guided aspiring engineers through the practical application of machine learning techniques onto complex, real-world datasets.

ML & Programming Facilitator at Matrix-Lab Tech (2022-08 – 2023-09)

  • Scalable Training: Upskilled over 1,000 students in Python programming and machine learning architectures by engineering a tailored, multi-tiered technical curriculum.

Biomedical Engineering Intern at University College Hospital (UCH) (2016-11 – 2017-10)

  • Engineered & Maintained Critical Systems: Spearheaded the calibration, routine servicing, and complex troubleshooting of life-saving medical instrumentation across high-pressure clinical departments.
  • Clinical Collaboration: Partnered directly with healthcare professionals to manage technical equipment during live procedures, ensuring absolute regulatory compliance and patient safety.
  • Operational Efficiency: Reduced equipment downtime by implementing proactive preventative maintenance schedules for diagnostic and therapeutic devices.

Biomedical Technician at Naveah Technology (2017-01 – 2018-07)

  • Field Installations: Executed on-site installation, routine servicing, and emergency troubleshooting of diverse medical instrumentation networks.
  • Quality Assurance: Validated device performance metrics against international biomedical safety standards before final deployment.

Education

Bachelor of Biomedical Technology in Biomedical Technology – Federal University of Technology Akure (FUTA) (2018 – 2022)

National Diploma in Biomedical Engineering in Biomedical Engineering – College of Health Science and Technology, Ijero (2014 – 2016)

Skills

Biomedical EngineerMachine Learning & Deep Learning Specialist

Reviews

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