🎓 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. 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

Languages & Tools	Domains	Frameworks/Libraries
	Aerodynamics & CFD	NumPy, SciPy, Matplotlib
	Control Systems	Simulink, Aerospace Blockset
	Simulation & Modeling	UAV Toolbox, Stateflow
	Version Control	GitHub Actions for CI/CD

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. 🔭✨