Building intelligent systems, edge devices, and data-driven solutions for the real world.
Arduino, ESP32, Edge Computing & Embedded System
Full-Stack Development, AI Agents, and SaaS Prototypes.
City-scale triage using Multi-Agent AI to validate infrastructure reports. Features Gemini 2.5 Flash vision verification and geospatial prioritization logic.
Voice-First AI bridging the gap to complex law. Speaks Pidgin English, generates formal .docx demands instantly without cloud storage.
Multimodal AI agent for SMEs visualizing price spreads (arbitrage) on heatmaps. Interprets heavy Pidgin accents via "Wise Trader" persona.
Deep Reinforcement Learning (PPO) agent stabilizing renewable microgrids. Achieved 5.5% cost savings vs standard controllers via optimal battery discharge strategies.
Full-stack bandwidth monitor using event-driven architecture to visualize latency trends and SLA violations in real-time.
Security tool auditing employee emails against breach databases. Features a mock API layer to simulate "Have I Been Pwned" responses.
Medical Diagnosis, Interpretability (XAI), and Predictive Analytics.
Explainable AI (SHAP) to visualize why the model made a diagnosis.
LAUNCH APPMulti-class prediction system supporting bulk CSV uploads for clinics.
LAUNCH APPCombining Logistic Regression and XGBoost for robust clinical models.
LAUNCH APPOptimizing yield by analyzing soil N-P-K values for Nigerian farmers.
LAUNCH APPReal-time SMS classification using Random Forest, TF-IDF, and SMOTE.
LAUNCH APPPeer-reviewed literature, pre-prints, and academic contributions hosted on Zenodo.
Presents a Physics-Informed Domain Adaptation (PIDA) approach combining a high-precision Digital Twin model and a 1D-CNN. Achieved 100% precision and recall for Sim-to-Real fault diagnosis on the CWRU-bearing dataset in a heavily data-scarce setting.
READ PUBLICATIONInvestigates Homeostatic L2 Regularization constraints on rate-coded RSNNs. Reveals that while networks achieve 100% classification accuracy, they settle into power-hungry, high-activity regimes, highlighting the critical need for hard neuromorphic sparsity constraints.
READ PUBLICATIONProposes a self-sustaining active vibration control system using a Soft Actor-Critic DRL algorithm to dynamically adjust PID gains. Eradicates overshooting, reduces settling time by 40%, and optimizes energy efficiency by 17% compared to standard Ziegler-Nichols logic.
READ PUBLICATIONTailors a PI-GAN for zero-shot predictive maintenance by integrating Ohm's and Newton's laws directly into the generator loss function. Delivered a zero-shot accuracy of 98.72% on unseen Inner Race faults and interdomain accuracy of 77.22% on Outer Race faults.
READ PUBLICATIONAddresses the calibration bottleneck in Brain-Computer Interfaces (BCIs) using Euclidean Alignment and SimCLR pre-training. The framework achieved 79.3% classification accuracy on unseen subjects with an ultra-low inference latency of 0.27ms.
READ PUBLICATIONI am an engineer with a passion for solving African-context problems using global technology. Optimizing Models and building systems that work in the real world.
$ STATUS: Researching Agentic AI Workflows
$ CURRENT_TASK: ESP32 TinyML Optimization