Software Engineer with 6+ years of experience designing, developing, and testing control algorithms for autonomous vehicles, including self-driving cars, UAVs, Flight Controls and Missile Guidance Systems. Solid experience in sensor fusion, localization, motion planning and trajectory control. Skilled in MATLAB/Simulink, with strong programming capabilities in C++, Rust, and Python.

I design and implement intelligent autonomous systems operating in dynamic, real-world environments. My core interest lies in building reliable, safety-critical software architectures for:

• Automomous Vehicles
• Unmanned Aerial Vehicles (UAVs)
• Unmanned Surface Vehicles (USVs)
• Flight Controls
• Guidance, Navigation & Control (GNC) systems

I work at the intersection of:

Control Theory × Embedded Systems × High-Performance Software × Autonomous Decision-Making

I approach autonomous platforms as layered systems:

Perception → State Estimation → Planning → Control → Actuation

My focus is ensuring:

• Deterministic execution
• Real-time guarantees
• Memory safety
• Robust stability under uncertainty
• Seamless hardware-software integration

Autonomous software must be predictable, validated, and mathematically grounded.

🎁 Project Name	📖 Brief Description	Language
rust_common	Rust common utils and algorithms
flight-dynamics-control	Flight dynamics simulator
uav_path_plannerl	Path planner algorithms for UAVs
UAV_flight_control	Development of real-time Autopilot for UAV
PID-controller-with-modifications	Practical modifications on the standard PID controller in C

• Adaptive Cruise Control (ACC) implementation
• Automatic Emergency Braking (AEB) logic
• Lane Support Systems (LSS) logic
• Sensor fusion and state estimation for moving targets
• Fail-safe mechanisms and safety validation

• Layered architecture design
• Inner/outer loop control
• EKF-based state estimation
• Waypoint mission planning
• Stability & disturbance analysis

• Design and implementation of autopilot architecture for fixed-wing and multirotor drones
• Inner-loop attitude control (roll, pitch, yaw) and outer-loop position/altitude control
• Waypoint navigation and trajectory tracking
• EKF-based state estimation and sensor fusion (IMU, GPS)
• Real-time control loop with deterministic update rate
• Fault detection and fail-safe emergency landing logic
• Simulation and testing under wind disturbances and sensor noise

• PID & state-space controllers in Rust
• Zero dynamic allocation in control loops
• Safe concurrency patterns
• Memory-safe state handling
• Real-time execution considerations

• Kalman & Extended Kalman Filters
• IMU + GPS fusion
• Noise modeling & covariance tuning
• Estimation stability analysis

• Safety first in physical systems
• Deterministic behavior over convenience
• Clear architecture before optimization
• Mathematical validation before deployment
• Test-driven development for reliability

LinkedIn: https://www.linkedin.com/in/samy-mohamed-a1383b16a/
Email: samy.elewa73@gmail.com

Building intelligent systems that interact safely and reliably with the physical world.