Engineering solutions that are
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A comprehensive portfolio of aerospace engineering projects spanning flight dynamics, control systems, trajectory optimization, and machine learning applications.
Featured Projects
A selection of my work in aerospace engineering and control systems
Hardware-in-the-Loop simulation setup using ROS for DJI Matrice 300 drone using DJI OSDK.
Framework using differential flatness and Bézier curves for real-time trajectory planning in obstacle-dense environments.
YOLOv8-based AI system for automated wind turbine defect detection with 82.3% [email protected] and 98% detection rate.
Nonlinear MPC integrated with extended state extended Kalman filter to estimate and compensate for external disturbances.
Automated Reddit problem scraper using LLMs for market research and idea validation with privacy-focused analysis.
Developed a dual neural network architecture to learn translational and rotational dynamics, featuring two feedforward networks with ReLU activation implemented in MATLAB.
High-quality orthomosaic maps from satellite imagery using image stitching techniques.
6 DOF nonlinear simulation with proportional navigation guidance and three-loop autopilot.
Detailed 6 DOF simulation model with actuator and sensor models for realistic flight conditions.
Implemented Incremental Nonlinear Dynamic Inversion (INDI) algorithm for quadrotor attitude and altitude control.
High-fidelity nonlinear 6 DOF simulation with stability augmentation systems and autopilot.
Nonlinear active disturbance rejection control strategy with comparison to traditional methods.
Comprehensive sizing and design of a supersonic fighter jet as per Raymer's book using RDS.
CFD analysis and one-way fluid-structure interaction analysis of a high aspect ratio wing.
Longitudinal and lateral autopilot systems design with control laws for various flight modes.
Detailed performance analysis as per Anderson's book.