At ToluAI, I build responsive Next.js web experiences and AI-assisted financial analysis applications that turn uploaded statements into KPI insights, performance assessments, and narrative summaries.
I also developed a CesiumJS and Python/Flask 3D geospatial viewer supporting more than 10 formats, ArcGIS well data, raster visualization, coordinate detection, and point-level analysis.
Previously at Euclidean Technologies, I built hyperspectral and thermal anomaly-detection systems for satellite imagery. My Enhanced Adaptive Mahalanobis Distance pipeline processed 371M+ spectral values across 1,280 bands with zero data loss and 88.2% overall accuracy.
I enjoy applying Python, deep learning, computer vision, and full-stack development to practical problems, from a wearable object-detection device for visually impaired users to an explainable network intrusion detection dashboard.
