Grade 11 high school student basd in Toronto, ON interested in Aerospace Engineering, working at the intersection of experimental aerodynamics and machine learning. Founder of Elevon EX, developing AI systems for aviation efficiency alongside wind tunnel testing and aircraft performance analysis.
This study demonstrates that paper aircraft geometry significantly influences airflow behavior, stability, and efficiency, with small design changes leading to major differences in flight performance.
Read paper →A supervised machine learning framework using Gradient Boosting to model fuel burn and identify operational inefficiencies in commercial aviation through aerodynamic, environmental, and route-based analysis.
Investigating optimized tailfin geometries for low Reynolds number flight regimes through a combined experimental and computational approach.
Selected Projects
Full-stack ML application predicting commercial flight fuel burn and generating optimization recommendations using a Gradient Boosting Regressor, Flask backend, and custom frontend.
Designing and distributing aerospace STEM kits to children in lower-income communities. Building toward a one-week summer program reaching 1,000+ students. (Website under construction)
Custom RC aircraft built as an experimental aerodynamics platform to validate ideas in wing geometry and low Reynolds number flight performance.
Phone-controlled door lock via servo motor triggered remotely through a custom mobile app, expanding toward an integrated security camera for real-time monitoring.
Drone that transforms into a maple seed autorotation glider on power failure. Inspired by Von Karman vortex dynamics from wind tunnel testing, with AI-assisted return-to-user logic.
A modular RC aircraft platform featuring real-time angle-of-attack estimation via onboard ML, adjustable wing geometry responding to wind conditions, and integrated sensors for flight testing, enabling data-driven analysis and optimization of lift, stability, and control.
Technical Skillset
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