Ogorchukwu Emmanuel Ochem — Software Engineer & Applied AI Researcher
Hey, I’m Emmanuel — a software engineer working across backend systems, infrastructure, and applied AI, with interests in distributed systems and system performance.
Alongside industry work, my research explores how AI and digital technologies can improve healthcare access in resource-constrained settings.
Outside of engineering, I read, write, and co-host a monthly virtual networking event that brings together professionals from different countries.
Writing
- Building AI Triage Systems When Uncertainty Matters
How AI triage systems can handle uncertainty by gathering information, making limited routing decisions, and escalating when necessary.
- Evaluating AI Triage Beyond Accuracy
Why evaluating AI triage requires more than a single accuracy score when clinical judgement and the reference standard can also vary.
- Deploying Digital Health Systems in Resource-Constrained Environments
Why digital health systems should be designed around infrastructure, access, usability, and deployment constraints from the start.
Publications
- Artificial Intelligence and Mobile Health Technologies for Improved Healthcare Access: Design and Pilot Evaluation of an Integrated Digital Health Platform for a Nigerian Teaching Hospital
Principal Investigator on a pilot study (n=50) designing and evaluating an AI-integrated digital health platform to improve healthcare access at a Nigerian teaching hospital.
- Blood Availability in Nigeria: Fragmentation, Supply Gaps, and the Case for National Coordination
This narrative review and policy analysis examines fragmentation and supply gaps in Nigeria's blood services, and proposes a phased, evidence-based roadmap for national coordination.
- Modeling and Variability Assessment of Global Solar Radiation in Gwagwalada, North-Central Nigeria: A Comparison of the Hargreaves-Samani and Angstrom-Prescott Models.
Co-authored comparison of two solar radiation estimation models against three years of NIMET meteorological data, informing solar energy system planning in a data-sparse region.