Making engineering solutions that are
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Projects Completed
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Projects I can help with
High-fidelity rigid-body 6-DOF models with aerodynamic, propulsion/actuator dynamics, and sensor noise; validated with trimming, step/impulse tests, and mission-level scenarios for aircraft, UAVs, and missiles.
Compute steady-state trim conditions and linear models, longitudinal and lateral-directional state-space models from nonlinear dynamics implemented in any language (MATLAB, Python, C++, etc.).
Guidance, navigation, and control for approach/flare/touchdown; glide-slope tracking, and wind-gust rejection tuned for safe autonomous landings.
Longitudinal and lateral-directional autopilots, decoupling, loop-shaping, gain-scheduling, anti-windup, and robust control in MATLAB/Simulink or Python.
Classical three-loop designs (acceleration, rate, fin/servo) with guidance laws (PN), actuator limits, and gain scheduling for high-performance response.
Integration of aerodynamics data, stability derivatives, and control surface deflection effects into 6-DOF models.
Newton-Euler modeling, motor mixing algorithms, thrust/torque mapping, motor dynamics, and transition logic for VTOL/tiltrotor in MATLAB/Simulink and Python.
PID, LQR/LQG, pole placement, Sliding Mode, Adaptive Control, Model Reference Adaptive Control, feedback linearization, Model Predictive Control (MPC) and NMPC, Nonlinear Dynamic Inversion (NDI), Incremental NDI, and H-infinity control.
Active Disturbance Rejection Control (ADRC) (linear and nonlinear) and disturbance observer-based Nonlinear Model Predictive Control (NMPC).
Unconstrained and constrained optimization using gradient descent, Newton's method, quasi-Newton (BFGS, L-BFGS), sequential quadratic programming (SQP), interior-point methods, penalty/barrier functions, and active-set methods; global optimization via basin-hopping, particle swarm, and genetic algorithms.
Linear programming (LP), quadratic programming (QP), and convex optimization formulations; efficient solvers (simplex, interior-point), constraint handling, and KKT conditions.
Path planning algorithms (A*, Dijkstra, RRT, RRT*, RRT-Connect); trajectory optimization via CHOMP, differential flatness-based methods (minimum snap/jerk), and Bézier curve or B-spline-based optimization with dynamics constraints.
Deep learning, neural networks, classification models, computer vision models for inspection, defect detection, object recognition, and autonomous navigation; system identification, surrogate/aero models, policy learning, and RL integration with control loops.
Global Reach
Providing freelance services in aerospace, GNC, flight dynamics and controls, robotics, optimization, and machine learning since 2021 across the globe
Client Testimonials
What clients say about working with me
“We have contracted Adeel to advise and guide us on our control architecture design and improvement. He was proficient and diligent. Definitely will hire Adeel again!”
— Upwork Client
“I knew Adeel as his team lead in the GNC department at Turkish Aerospace. Adeel is a brilliant controls and flight dynamics engineer who has taught himself very advanced control concepts that are well beyond his on-paper degree and years. I tasked Adeel with increasingly advanced projects and he never stopped surprising me by completing them in record time. Having worked with countless engineers, I certainly believe that Adeel is extremely rare and I am sure that he will do great things. He has my strongest recommendation for whatever he does.”
— Aseem Islam, Former Lead
“UAV and Missiles Development through learning. Highly recommended!!”
— Upwork Client
“Highly recommended! He will do his very best to deliver your project. Listens to all your needs and makes everything perfect. Looking forward to working with him again.”
— Upwork Client
“Adeel is a great person and a must-have if you are trying to build anything resembling an aircraft. He has all of the skills that I need.”
— Upwork Client
“He is very polite and did all the requirements of the project perfectly.”
— Upwork Client
“Adeel was great to work with. Very responsive and thorough communicator and went the extra mile to try and help me solve my problem.”
— Upwork Client
“Highly recommended.”
— Upwork Client
“He delivered an excellent work. Highly recommended. Very calm and patient and would go extra mile in fulfilling whatever is needed. Will continue to hire him for my future projects.”
— Upwork Client
“Muhammad is very patient and cooperative. He's willing to effectively communicate and keep the clients' needs in mind. It has been a pleasure working with him and I will for sure work again.”
— Upwork Client
“Muhammad is an absolute pleasure to work with. He never fails to meet the requirements and always goes the extra mile. Once again, he has managed to submit high quality work with very valuable input and discussion.”
— Upwork Client
“Muhammad is very respectful and professional. The work done has surpassed my expectations, he really goes the extra mile and provides work that is exactly what you're looking for.”
— Upwork Client
“Well done!”
— Upwork Client
“Highly recommended, top aerospace engineer! Your input is having a positive impact on the project.”
— Upwork Client
“He is an amazing person to work with! This is my second time working with him and I am highly satisfied by the quality of work.”
— Upwork Client
“Amazing work! Quick turnaround. Extremely professional and knowledgeable. Definitely would recommend.”
— Upwork Client
“Wonderfully talented mathematics specialist who clearly explains solutions under time pressure. Highly recommended.”
— Upwork Client
Why hire me instead of a generic freelancer?
I combine aerospace-grade rigor with fast, modern engineering workflows. You get someone who can model, simulate, build, and ship reliable systems—not just write code in isolation.
Deep technical expertise
Advanced knowledge in flight dynamics, control theory, and optimization with hands-on implementation experience in MATLAB, Simulink, and Python.
Proven delivery history
Successfully delivered complex aerospace projects including autopilot design, 6-DOF simulations, and guidance systems for clients across the globe.
Research-backed decisions
Academic background with published research in control and trajectory optimization, so design choices are grounded in theory and validated, not just trial-and-error.
End-to-end ownership
From requirements and modeling to implementation, verification, and documentation—I can own the lifecycle instead of handing you half-finished prototypes.
Reliable & predictable
Clear communication, structured updates, and realistic timelines. I treat your project like an engineering mission, not a side gig.
Built for remote collaboration
Comfortable working across time zones and strong written communication, making remote collaboration smooth and low-friction.
Let's Work Together
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