Hello, I'm Ahmed

Mechatronics & Robotics Engineer

• End-to-End Robot Prototyping: From ideation to simulation and physical realization (e.g., 2D mapping robots). • Embedded Control Systems Design: Development of real-time systems using C++, Python, ROS1/2. • Sensor Fusion & Integration: Lidar, IMUs, and camera integration for smart robotic applications.

• Intelligent Process Automation (IPA): Automating industrial workflows using AI agents and custom logic. • Computer Vision Systems: Object tracking, path planning, and image classification pipelines. • Reinforcement Learning Agents: Custom-designed agents to optimize robotic decision-making in simulation or real-world environments.

• ROS/ROS2 Package Development: Modular, scalable systems with custom nodes and action servers. • Simulation Environments: Building Gazebo or Webots-based simulations for robotic testing. • Custom Control Panels: GUI dashboards for real-time monitoring and control of robots or AI systems.

• Project Documentation: Clean and engaging GitHub READMEs with animated embeds and visuals. • LinkedIn & Dev Logs: Branded social content (code snippets, behind-the-scenes, Rive animations). • Public Speaking Readiness: Slide decks and visual demos for conferences and HR events.

• Rive-based Micro Interactions: Visualizing robotics projects as interactive social assets. • Technical Illustrations & UI Mockups: Minimal 3D visual style with gradient design for social/web. • Project Branding Assets: Logos, badges, and GitHub banners to showcase projects professionally.

• AI + Edge-Based Control: Deployment of AI-enhanced controllers or microcontroller-based AI agents for predictive maintenance, fault detection, and system adaptation. • Process Optimization & Retrofits: Analysis and re-engineering of legacy automation systems with modern, scalable control layers and integrated monitoring. • PLC & SCADA Integration: Design and deployment of Programmable Logic Controller systems for machinery and process automation, integrated with SCADA for centralized monitoring. • Sensor-Driven Automation: Automating workflows using real-time sensor data (pressure, proximity, temperature, etc.) to create adaptive, responsive systems.