🎓 Aeronautical Engineering Student
Passionate about turning the skies into playgrounds through flight simulation, robust control systems, and innovative aerodynamics.
I thrive on bridging theory and practice—whether it's crafting Nonlinear Dynamic Inversion controllers to tame unstable flight regimes or coding numerical solvers that make complex PDEs bow to computation. Let's launch some ideas together!!
Nonlinear Dynamic Inversion for Advanced Flight Dynamics
Implemented a real-time NDI controller in MATLAB/Simulink for 6-DOF aircraft models. Handles aggressive maneuvers while ensuring stability—perfect for next-gen UAVs or fighter jet simulations.
Aerodynamic Modeling & Performance Analysis
A Python-based tool for propeller/rotor design using BEMT (Blade Element Momentum Theory). Computes thrust, torque, and efficiency across flight envelopes—ideal for drone optimization.
Impact: Reduced design iteration time by 40% in simulated wind tunnel tests.
Efficient Algorithms for Engineering Solvers
Collection of C/Python implementations for finite difference, Runge-Kutta, and eigenvalue solvers. Tackles heat transfer, orbital mechanics, and CFD problems with high-fidelity results.
Physics Formula Assistant
A sleek Python GUI app that searches, derives, and visualizes 500+ aeronautical & physics formulae. From Bernoulli's equation to stability derivatives—your quick-reference wingman.
*Explore more on my GitHub
Proficient in translating wind tunnel data into flight-ready code. Simulating and Testing Control Algorithms for things which fly
- Email: deepakaero07@gmail.com (or ping via GitHub Issues)
- LinkedIn: Deepak S
- X/Twitter: Deepak S
What You Think You Become
— Deepak's Idea for Liftoff
Thanks for stopping by! Star a repo if it sparks joy, or fork one to soar. ðŸ”✨