The Intersection of Flight & Data
I am a final-year Aerospace Engineering student (500L) at the Air Force Institute of Technology (AFIT), Kaduna. Unlike the traditional path of pure mechanical analysis, my focus has shifted toward the digital frontier of aviation: Data-Driven Maintenance and Digital Twins.
While my academic foundation covers aerodynamics, flight mechanics, and aircraft structures, my true expertise is being built in the "lab" and the hangar. I am actively developing systems that connect physical aircraft strut health to real-time dashboards (InfluxDB/Grafana), aiming to solve the industry's need for predictive rather than reactive maintenance.
▸ AeroTwin B787 LG Prognostics → CJA UNDER REVIEW
▸ PHI-CHAIN Avionics Security → IEEE TAES UNDER REVIEW
▸ B787 Ignition Digital Twin → RESS UNDER REVIEW
$ mission --2026
▸ Graduate with deployed, working systems
▸ Demonstrate how IoT modernises Nigerian aviation safety▌
Professional Evolution
My journey hasn't been limited to the classroom. I have actively sought out the grit and oil of real-world aviation. From the documentation rigors of the NCAA to the hangar floors of Executive Airlift, I have seen the gap between theory and practice.
I realized that while mechanical repair keeps planes flying today, data will keep them flying safer tomorrow. This realization drives my current work in Python, PyTorch, time-series forecasting, and physics-informed neural architectures — published at international journal level.
Vision & Goals
Post-graduation, I intend to bridge the gap between MRO operations and Digital Transformation. I am aiming for roles that allow me to apply computational intelligence to airworthiness challenges, specifically in reducing AOG (Aircraft on Ground) time through better health monitoring — and continuing active research collaboration with institutions like Cranfield University, UK.