Building robust software for scientific computing, neuroinformatics & healthcare.
I bridge the gap between neuroscience research and software engineering. My work focuses on building reliable cloud platforms, pipeline observability systems, and open data tools that help scientists turn complex experimental data into reproducible discoveries.
What I Focus On
Applying software engineering rigor to solve non-trivial scientific computing and clinical data bottlenecks.
Scientific Computing & Neuroinformatics
Developing reproducible platforms that streamline how neuroscientists process, analyze, and manage complex neuroimaging data.
Research Software Engineering
Architecting robust full-stack applications and scientific tools across Python, React, Next.js, Node.js, and containerized cloud services.
Workflow Observability & Diagnostics
Building monitoring engines and diagnostics dashboards that provide visibility into long-running computational jobs across distributed HPC clusters.
FAIR Data & Research Infrastructure
Creating digital platforms that advance Findable, Accessible, Interoperable, and Reusable (FAIR) data practices across African neuroscience and beyond.
Featured Work
Brainlife Error Monitoring Dashboard
Centralized observability and diagnostic dashboard capturing failure states and logs across thousands of distributed neuroimaging jobs on Brainlife.io.
Brainlife Mobile
Cross-platform mobile application providing researchers with real-time visibility, job status tracking, and push notifications for multi-day compute executions.
African Brain MRI AI Research Ecosystem
A 7-phase research ecosystem evaluating model robustness, calibration, and explainability on real-world clinical neuroimaging from Nigerian hospital networks.
ABDN Fellowship Evaluation Platform
Digitized applicant assessment and multi-reviewer scoring workflows supporting over 1,000 applicants across 50 African countries.